Hire the Top 2% of
Remote Google Vision Developers
in India

Suman D.

Vetted Google Vision developer in India (UTC+6)

I am a Senior Data Scientist with over 9 years of experience in leveraging advanced AI, machine learning, and deep learning techniques to solve complex business challenges across industries like banking, retail, manufacturing, and technology. My expertise lies in designing scalable solutions that drive measurable outcomes, optimize processes, and empower organizations to make data-driven decisions. Currently, at JPMorgan Chase & Co., I lead initiatives that have delivered significant business value, including developing an unsupervised payment risk detection model that mitigated fraud risks and saved $24M globally. I also spearheaded the creation of a Retrieval-Augmented Generation (RAG) framework to enhance enterprise-wide information retrieval and knowledge generation. My work on standardizing LLM evaluation frameworks has improved cross-functional collaboration and ensured consistency in model performance metrics. Previously, at Walmart Global Tech India, I contributed to sustainability goals by building multi-model machine learning systems for EV charging station recommendations while driving store revenue growth. I also implemented transformer-based models for product categorization and price standardization. At Tiger Analytics, I developed real-time predictive maintenance systems that saved $50M annually for a global steel manufacturer and improved inventory forecasting accuracy by over 20%. With a strong foundation in programming languages like Python and SQL, libraries such as PyTorch and LangChain, and expertise in cloud platforms like AWS SageMaker and GCP BigQuery, I specialize in cutting-edge technologies like Large Language Models (LLMs), Natural Language Processing (NLP), anomaly detection, and MLOps. My academic projects further showcase my ability to innovate in areas like federated learning for DocVQA, RAG frameworks for better retrieval-generation pipelines, and prompt compression for optimized token utilization. Beyond my professional achievements, I am dedicated to mentoring aspiring AI professionals through Scaler Academy and sharing insights as a tech blogger at KnowledgeHut. My mission is to harness the power of AI to create meaningful impact while fostering growth in the AI community.

Vidit M.

Vetted Google Vision developer in India (UTC+6)

I am an engineer with extensive experience in e-commerce, application engineering, and engineering platforms. I specialize in Java, Node.js, Ruby, and Golang, and I have worked with frameworks like Spring Boot, Ruby on Rails, and Express. My database expertise includes MySQL, PostgreSQL, MongoDB, and Redis. I enjoy mentoring fellow engineers and college graduates, helping them explore the software engineering space and achieve their goals. Currently working at Microsoft, I have previously contributed to Ola, Paytm, and Gojek. I also blog to share my learnings and insights with the developer community. Feel free to reach out for anything related to this, - Software Design/Development/Prototyping/Pair coding. - Web Technologies/API design/Code reviews. - Career development/Consulting/Training/Mentorship/Interviews in technology/DSA/System Design. - Business Idea and its transformation into technology.

Harshit V.

Vetted Google Vision developer in India (UTC+6)

I'm a dedicated full-time mentor, consultant and Lead software developer with a track record of over 1000+ sessions since 2016. Having 9 years of programming experience in Python, java, GoLang, AWS, MongoDb, ElasticSearch, telethon and many more technologies. I'm passionate about problem-solving and navigating intricate code bases. I love working with: ⭐ Python ⭐ Java ⭐ Spring ⭐ NodeJS ⭐ AWS ⭐ SQL ⭐ MongoDB ⭐ ElasticSearch ⭐ React ⭐ GoLang WHAT SEPARATES ME FROM OTHERS? * Strong and clear communication * Availability at all times * 100% refund incase of non satisfactory session Achievements: * 1000+ Sessions * All 5 star rating

Pradeep T.

Vetted Google Vision developer in India (UTC+6)

Over 11 years of experience in software development, maintenance, client servicing, and project delivery in the IT industry. Proficient in native iOS and macOS application development using Swift, Objective-C, SwiftUI, and C/C++, with additional expertise in Android and Linux application development utilizing Kotlin, Jetpack Compose, and C/C++. Skilled in the banking, enterprise, and network security domains, with hands-on experience in VPN, zero-trust access, network security, and PKI. Proficient in network protocols such as SSL/TLS, TCP/UDP, DNS, and DHCP, as well as socket programming and Apple’s Network Extension and Vision Framework. Demonstrated expertise in version control systems like Git and SVN, developing enterprise applications, and creating apps controllable by MDM using AppConfig community protocols. Extensive experience working with FinTech and network security applications, along with a strong background in writing effective unit tests and delivering high-volume, low-latency applications for mission-critical systems with high availability and performance. Experienced in all phases of the SDLC, including requirement analysis, implementation, and maintenance, with significant exposure to Agile and SCRUM methodologies.

Avikalp G.

Vetted Google Vision developer in India (UTC+6)

HHHello! I'm Avikalp, a **tech nerd, builder & automater**, passionate about helping developers thrive in their careers. With software development, data science, and leadership expertise, I specialize in full-stack development & deployment of large-scale commercial AI-driven products. My entrepreneurial instincts help me focus on the problem and find the most optimal (economical & performant) solutions. ver code very fulfilling and I've played a crucial role in establishing the code review, versioning & knowledge transfer mechanisms for every team I've worked with.

Vinit S.

Vetted Google Vision developer in India (UTC+6)

Versatile Data Scientist distinguished for collaborative skills and a track record of independently delivering impactful results. I have experience in instance segmentation, object detection, clustering, OCR time series forecasting, post-processing forecast correction, retail analytics, regex, delivering well-documented, tested, and operable code. I have also worked with Turing on their LLM deliverables, curating high quality dataset for python coding practises. Efficient in collaborating and communicating new ideas and opinions.

Raghavendra N.

Vetted Google Vision developer in India (UTC+6)

Hi, As a passionate Full Stack Developer with **over 12 years** of experience, I thrive on building efficient, user-friendly web applications. My expertise spans both front-end and back-end technologies, enabling me to create seamless, responsive solutions that deliver exceptional user experiences. Additionally, I’m proficient in DevOps and have assisted clients in setting up streamlined CI/CD pipelines. **About my skills:** * I am a PHP developer with over 12 years of experience and a deep understanding of PHP, including advanced features like **namespaces, traits, and iterables** etc. * I have worked extensively with various PHP-based CMS and CRM systems, such as **WordPress, SuiteCRM, and Mautic**, which has equipped me with diverse coding techniques. * I have over 10 years of experience working with **WordPress**, covering all aspects of the platform. My expertise includes complete site setup, custom theme and child theme development, custom plugin development, performance optimization, and WooCommerce integration, among other areas. * In addition, I have over 7 years of experience with **Laravel**. Also I’m familiar with several other PHP frameworks including **Symfony and CodeIgnitor.** * Actually I'm a full stack developer. So not just PHP, I’m also good at several front end technologies including the **React JS**. Please check this online chess game I developed using React JS for a demonstration of my skills: [https://demo.codingwithchess.com](https://demo.codingwithchess.com/) * Furthermore, I have a solid foundation in **DevOps**, having set up streamlined **CI/CD pipelines** for several clients using **GitHub, GitLab, and Jenkins**. * To learn more about my skills and experience, please visit my portfolio website: [https://raghavendra89.github.io](https://raghavendra89.github.io/)

Shwetanshu S.

Google Vision developer in India (UTC+6)

I am Shwetanshu, a versatile problem solver with a passion for finding innovative solutions to complex problems across various domains. My academic background includes a Master's degree in Data Science from NYU, complemented by a strong foundation in Computer Science from my undergrad. This unique blend of technical expertise and business acumen, gained through practical experience, enables me to understand project requirements, effectively communicate, and collaborate with technical teams to deliver impactful enterprise solutions. My professional journey has been dynamic, encompassing work with successful early-stage startups, as well as conducting research in academic and tech labs. Through my research experience, I have developed a deep understanding of diverse datasets and the analytical processes involved in the development cycle, ranging from hypothesis testing to deployment. In parallel, my practical expertise has been honed through working on applied research projects with esteemed organizations like Spotify, The New York Times, and The World Bank. These experiences have allowed me to utilize advanced tools and technologies to model and deliver impactful prescriptive analyses at scale. Throughout my career, I have tackled the inherent complexities of predictive modeling across diverse datasets, embracing the probabilistic nature of outcomes, and conveying compelling stories with data. I am truly devoted to this domain, as is evident in my commitment to seeking clever insights and employing data-driven decision-making even in my day-to-day tasks.

TARUN G.

Vetted Google Vision developer in India (UTC+6)

I am a Senior Consultant in Big Data and Data Science with expertise in Generative AI (LLMs), various programming languages, frameworks, databases, and software engineering skills. I have experience in developing chatbots, computer vision applications, analytics dashboards, and software engineering projects.

Raghav P.

Vetted Google Vision 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