Hire the Top 2% of
Remote Product-Market Fit Developers
in India

Vikram C.

Vetted Product-market fit developer in India (UTC+6)

An Enterprise/ Solution Architect having extensive experience of over 25+ years in the software industry, building solutions to various platforms in food processing, agriculture, telecom, logistics, airline, healthcare & education industries. My expertise lies in converting ideas to solutions. As an enterprise architect, I have been part of multiple transformation journeys of large scale enterprises. **Few Highlights** * TOP RATED PLUS Enterprise Architect on Upwork * In the list of 27 BEST Enterprise Architects worldwide * 100% Success Rate with all customers I am also a TOGAF 9.2 Certified Enterprise Architect. Currently working as an independent consultant/ architect who can work with any team to solve existing business problems and streamline/ improve the business processes. I am open for short term or long term assignments. I have worked in the past for clients from the US, Middle East, South Africa, Australia etc. Currently, as a solopreneur and freelancer, I have been involved with multiple clients supporting them with: * IT Strategy Development, Solution/ Technical Architecture, Project Management etc. * Providing IT Consulting Services from 2015 onwards * Worked As Principal Architect with Verizon Data Services India (2006 - 2015) * Worked as Team Lead with Emirates Airlines IT from 2004 - 2006 * Worked with HCL Perot Systems from 2000 - 2004 I have hands-on experience in IT strategic planning, enterprise architecture, application development and IT.

Adhiraj S.

Vetted Product-market fit developer in India (UTC-8)

I studied CS at university, focused on machine learning research, and authored papers with 700+ citations. In 2013 I joined Dropbox where we built software used by 500M people. After a few years as the product matured and the company grew large, I wanted to work at a startup. In 2018 I joined Sentry, now the world's leading error monitoring tool and a challenger in the $4B application performance monitoring space. I first led the growth team to optimize our self-serve funnel. Then I became a product manager to invest in new product development that was essential to continued growth. My team revamped alerts, a critical part of Sentry, and achieved double digit growth in adoption and quality metrics. In 2022 I took a break to build investing tools for the general public. In 2023 I started Podgenie, an AI assistant ([https://www.podgenie.app/](https://www.podgenie.app/)) that helps content marketers at B2B companies maximize the impact and reach of their audio-video content (podcasts, webinars etc) by automatically repurposing it to text formats like blogs, emails, and case studies. The product ultimately failed because I had too much of a "build it and they will come" mindset and didn't invest enough in GTM and differentiation.

swapnil S.

Vetted Product-market fit developer in India (UTC-8)

I am a professional software developer who has a **balanced experience of working in all stages of a company** - from early stage startup to unicorn startup to Microsoft's Linkedin. After graduating from **a top-tier institute IIITA**, I began my career with an internship at Acko, which was a small 15‐member team at the time. By the end of my full‐time tenure, I had witnessed its growth to a team of **over 200 developers**. Seeking to understand **industry‐scale software** development, I joined **LinkedIn**. There, I managed a team of three, and we successfully developed two projects. I left LinkedIn to start Mathlete with my cofounder, a platform for teaching math. We soon realized that distribution was a bottleneck for this business idea, and I felt the need to learn more about business development. This led me to join The Dot Studio as a founding member, where I could witness the 0‐1 journey firsthand. At The Dot Studio, I helped set up the software infrastructure to reduce operational load and generate revenue. Due to the lack of future fitment of a tech role in a marketing agency, I decided to leave the core‐team. I have also done **multiple projects in AI** and has published **a research paper in AI** and computer vision. I hold a B-Tech in Information Technology with a CGPA of 8.51. Experienced in AI, Java, Python, and software engineering. Led projects in AI research, software development, and entrepreneurship.

Aakash D.

Vetted Product-market fit developer in India (UTC+6)

Aakash is a seasoned software engineer currently specializing in full-stack development with Python/Django and ReactJs. He has eight years of experience architecting and developing products for startups and established companies across the globe. These include eCommerce, real estate, food-tech, energy efficiency, CRMs and healthcare solutions. Aakash has a deep passion and enthusiasm for software development and enabling businesses to succeed and grow through technology.

Pavan .

Vetted Product-market fit developer in India (UTC-8)

Product Manager with 5 years of experience in Product management, Project management and full Product lifecycle ownership including launching 0-1 products leading cross-functional teams at startups. Experience working and collaborating with technical teams, utilizing LLMs, and aligning product vision with business objectives. Holds a Master’s degree in Data Science with practical experience. Skilled in market research, roadmap planning, and feature prioritization. Collaborated with international teams in USA and the Netherlands, to drive product development in cross-cultural environments.

Bikram S.

Vetted Product-market fit developer in India (UTC-8)

**Experienced Business Intelligence Developer with 8+ Years of Expertise** Seasoned Business Intelligence Developer with over 8 years of experience in leveraging data to drive strategic decision-making and business growth. Adept at designing, developing, and implementing robust BI solutions that deliver actionable insights and enhance organizational performance. Proven track record in: * **Advanced Data Analysis**: Expert in analyzing and interpreting complex datasets to uncover trends, patterns, and actionable insights that support business strategies. * **Report and Dashboard Design**: Proficient in creating dynamic, interactive dashboards and reports using leading BI tools such as Power BI, Tableau, and Looker, tailored to meet diverse stakeholder needs. * **Data Integration and ETL**: Skilled in ETL processes, integrating data from multiple sources into data warehouses, ensuring data accuracy, consistency, and reliability. * **Database Management**: Extensive experience in managing and optimizing databases, enhancing data storage, retrieval, and performance for maximum efficiency. * **Stakeholder Collaboration**: Effective communicator with a strong ability to collaborate with cross-functional teams and stakeholders to gather requirements and deliver tailored BI solutions. * **Problem-Solving and Support**: Adept at troubleshooting and resolving BI-related issues, providing ongoing support, and ensuring the seamless operation of BI systems. * **Continuous Improvement**: Committed to staying abreast of industry trends and emerging technologies to drive innovation and continuously improve BI processes and solutions. Dedicated to transforming data into strategic insights that propel business success and support informed decision-making.

Ravi .

Vetted Product-market fit developer in India (UTC+6)

Seasoned AI/ML Specialist with 16 years of experience, specializing in AI-ML project and product strategy, program management, and quality assurance execution. Focused on developing advanced NLP applications using Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). Expertise in AI-ML application development life cycle management, creating robust and scalable solutions. Proven skills in Python backend development and extensive experience in test automation with Selenium, Cypress, and Playwright. ISTQB certified and proficient in Agile methodologies, known for effective collaboration with cross-functional teams.

Vikas O.

Vetted Product-market fit developer in India (UTC+6)

Seasoned Python Architect & Tech Lead Delivering Excellence Python Architect Experience - \- Architecture Design & Planning: Define the overall architecture of Python applications, including selecting appropriate frameworks, libraries, and technologies to meet project requirements. \- Scalability & Performance Optimization: Identify potential bottlenecks and design solutions to optimize the performance and scalability of Python applications, ensuring smooth operation under high loads. \- Code Review & Quality Assurance: Conduct code reviews to ensure adherence to best practices, coding standards, and architectural guidelines, while also implementing automated testing strategies to maintain code quality. \- Security Implementation: Implement robust security measures within Python applications, including authentication, authorization, encryption, and data protection, to safeguard against potential security threats. \- Integration & API Development: Design and develop APIs and integration points to facilitate seamless communication between different components and systems within the application ecosystem. \- Data Modeling & Database Management: Design data models and schemas for efficient storage and retrieval of data, as well as manage database systems effectively, including performance tuning, indexing, and data migration. \- DevOps & CI/CD Pipeline Setup: Implement continuous integration and continuous deployment (CI/CD) pipelines using tools like GitLab CI/CD, GitHub Actions, Docker, Caprover to automate build, test, and deployment processes. \- Containerization & Orchestration: Containerize Python applications using Docker and orchestrate containerized deployments using Kubernetes or other container orchestration platforms for improved scalability and manageability. \- Monitoring & Logging: Set up monitoring and logging solutions to track application performance, detect anomalies, and troubleshoot issues proactively, using tools like Sentry. \- Cloud Infrastructure Management: Deploy and manage Python applications on cloud platforms like AWS, Azure, or Google Cloud, leveraging services like AWS Lambda, EC2, S3, Azure App Service, or Google Kubernetes Engine (GKE). Why Hire Me? \- 15+ Years of Python Expertise: Extensive experience in Python development, specializing in architecting solutions for diverse projects across multiple industries. \- End-to-End Project Ownership: Proven track record of spearheading projects from inception to production deployment, ensuring seamless execution and delivery within specified timelines. \- Infrastructure Setup & Optimization: Proficient in designing and implementing robust infrastructures for complex projects, optimizing performance and scalability while adhering to best practices. \- Effective Team Leadership: Led technical teams as a Tech Lead, fostering collaboration, mentoring team members, and driving excellence in project execution. \- Client Satisfaction & Relationship Management: Demonstrated ability to understand client requirements, provide strategic insights, and deliver solutions that exceed expectations, resulting in long-term client partnerships. \- Continuous Learning & Adaptability: Committed to staying updated with the latest trends and technologies in Python development, constantly enhancing skills to tackle evolving challenges effectively. \- Effective Communication & Collaboration: Strong interpersonal skills with a proven ability to communicate complex technical concepts effectively to stakeholders at all levels, fostering a collaborative work environment.

Ayush J.

Vetted Product-market fit developer in India (UTC+6)

\- Fundamentally driven, analytical thinker with extensive ground level work \- Top 0.004% of Indian talent (JEE rank) \- Strong, proven, communication skills and EQ \- Over 8 years of building and leading 4-20 member teams, believe in leading by example \- Exceptional coder, reviewer and mentor, polyglot (12+ years total coding experience) \- Built and maintained a variety of performant-resilient-scalable-microservice-systems \- Behaviorial profile is spiritual, yogic, athelete #dealt-with-ambiguity #high-collaborative-environments #game-and-finance-systems #product-platforms

Raghav P.

Vetted Product-market fit developer in India (UTC+6)

Highly experienced Full-Stack Data Scientist / Machine Learning Engineer and Software Developer, delivering production ready ML models and customised softwares to automate business processes and decision making. With an added advantage of attaining MBA from India's finest B-school, I build tech powered solutions to ensure maximum profitability for any business venture. Skills : ● Data Science & Machine Learning : Supervised ML, Linear Regression, Decision Tree, Prompt Engineering, Hypothesis Testing, Statistics, Exploratory Data Analysis, Data Wrangling, Cleaning & Tidying, Feature Engineering, Data Visualization, SQL, Scikit-learn, NumPy, Pandas, Matplotlib, Plotly, Dash, Microsoft Excel, Metabase, AWS Athena & Sagemaker, Google BigQuery, Unsupervised ML, Neural Nets, NLP, Large Language Models (LLM), GPT, Text Embedding, Vector Databases, PyTorch, fastai, TensorFlow, OpenAI API, Generative AI (GenAI) ● Programming : Python, MySQL, PostgreSQL, HTML, CSS, Flask, Heroku, APIs, Git, AWS S3 & EC2, JavaScript, jQuery, Java, Werkzeug WSGI, Leaflet.js, Folium, GeoPandas, Google Maps API & Sheets API, Bootstrap Professional Work : 1. Engineered a suite of cutting-edge ensemble ML models, revolutionizing underwriting processes for personal loan products a major FinTech Lender in India. 2. Developed and deployed 6 ML models for credit-risk scorecard, using 5 data sources (Bureau, Bank Statement, SMS, Smartphone App Info and Demography), improving risk spread by 1200%. 3. Devised NLP based models (Passive Aggressive Classifier and XGBoost Classifier with TFiDF Vectorizer) for classification of SMS, improving recall by 35% and accuracy by 60%, and saved 36 man-hours daily, processing over 200 Mn SMS/day. 4. Created LLM based classifier models using Prompt Engineering on ChatGPT (OpenAI), Mistral AI (Open Source) and other open source models. Deployed using AWS Sagemaker. 5. Crafted an LLM based Law ChatBot that answers to Lawyer's questions pertaining to any specified PDF file of a Legal Document. 6. Built an in-house MLOps infrastructure with AWS Sagemaker, enhancing model integration. 7. Engineered 330+ features from SMS data to emulate metrics including cash flow, lifestyle and financial literacy indicators. Included steps like Exploratory Data Analysis, Data Wrangling, Cleaning & Tidying, Feature Engineering. 8. Designed comprehensive daily and monthly model monitoring dashboards using Flask-Python, Metabase and SQL tables, improved response time to anomalies by 75%, enhancing overall model reliability and performance. 9. Designed a Customer Loyalty Program and delivered via a web and Android app, over 2500 DAU, rated 4.6 on play store for a manufacturer and distributor of PVC Plumbing Systems in Central India. 10. Increased territorial penetration by over 25% by building automated interactive GIS sales dashboard for a wholesale business in India. 11. Achieved 100% monthly revenue target completion by creating Business Intelligence Dashboard – Google Apps Script. 12. Reduced total credit by 20% in five months by building a Python-bot that sends regular WhatsApp messages to debtors. 13. Saved annual recurring cost of ₹25 lakh+ by automating data collection for a hedge fund using Yahoo Finance API & Python. 14. Cut time from over 4 hours to 2 clicks by developing a GIS-enabled web application for new-license territory discovery for a developer and licensor of Escape Room Game Designs in USA. Personal Projects : 1. Developed a Fake News Classifier using TfIdf Vectorizer and Passive Aggressive Classifier - ML, pandas, scikit-learn. 2. Created a Spam Email Classifier using Naïve Bayes and XGBoost Classifiers - ML, NumPy, seaborn. 3. Designed a Cat Image Classifier using multi-layer neural network - DL, NumPy, Matplotlib, h5py, PIL, SciPy. 4. Developed a web app to manage portfolio of stock with real-time prices using IEX API -SQLite, Flask, HTML, CSS, JS. 5. Built a terminal-run card game called Declare - Python. Education : Computer Science and Data Science Masters (Self-Learned) Major Electives: Computer Science: MIT 6.0001, MIT 6.0002, Automate the Boring Stuff with Python, Harvard CS50, Harvard CS50 - Web Development, Intro. to Algorithms, Design and Analysis of Algorithms, Software Development Lifecycle, GIT and GitHub, Flask for Python, The Python Mega Course, Data Structures, Analysis of Algorithms, The Odin Project etc. Data Science: Stanford CS229, Stanford Machine Learning (CS229A), Data Science path on Codecademy.com, Data Science and Machine Learning Bootcamp, Neural Networks and Deep Learning, Deep Learning with PyTorch: Zero to GANs, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization