Hire the Top 2% of
Remote Information Technology Developers
in India

Gagan S.

Information technology developer in India (UTC+6)

Cyber Security Researcher, Entrepreneur, CyberSecurity Trainer and Consultant & OSINT Junkie! 5+ years of experience in Cyber security Audits, architecture, BCM/BCP, Corporate Security Audits SOC2, GTAG, COBIT, Incident response Policy and Implementation and Cyber crime investigations 5+ years of experience in training Cyber security Certifications like Ec-Council and CompTIA, Digital Forensic and Dark-web 3+ years of experience in Management Operations 2+ years of experience in Cryptocurrency investigations Media Presence: Featured on CNN News, AndroidPolice, the Quint, GiGa news, AndroidNews, BTV News, Swaraj News on Cyber Awareness talk show, Indian Digital Forensic Journal etc.. Trainings: \- Trained Law enforcement on Social Engineering attacks, Cyber OSINT, Mobile Forensics and Social Media Analytics. \- Trained Corporate and Govt Agencies on CyberSecurity Certifications like CEH, CND, CySA, Security+,CIH, CHFI, ECSU, Cloud Security \- Certified Trainer by Ec-Council, Certfirst Consulting: \- Experience in Cyber Crime Investigations with LEAs \- Expert in assessment and pen testing of Web applications, PHP, NodeJs, Python, Django, MongoDB, Apache strut, Big data security. \- Worked on GSM pentesting with law enforcement \- Development of IMSI finder tools using python , GRGSM , RTL-SDR ,IoT devices and Software defined Radio pentesting , osmocombb \- Risk Assessment, Threat Modelling, BIA Analysis, Quantitative & Qualitative Assessments \- Worked on Cyber Law, CoBit, GTAG, ISO 27001 , ITIL and other Frameworks. \- Hands on experience Mobile forensics solutions like Cellebrite, Magnet Forensics, FTK, drozer, MobSF \- Advanced malware analysis , Android RAT Trojan analysis & polling, Windows & Linux RAT analysis. \- Python Developer, Django, Flask, NodeJs knowledge \- Active Phishing Scam Researcher \- Developer of Osint tool #thedorkbox https://github.com/cybersafeblr/thedorkbox \- Android & IoS application reverse Engineering & Pentesting Author of Xiaomi quick apps removal from playstore article which appeared in CNN news Achievements: \- Received Thank you letter from Google for Recognizing Xiaomi QuickApps as Malicious on Google play store \- First batch of CEI to clear CND before the official release \- Received Appreciation Letter from University of Cambridge for reporting Vulnerable servers Certifications: \- Certified Network Defender (CND) \- Certified Ethical Hacker (CEH) \- Certified Ec-Ecouncil Instructor (CEI) \- Certified Acunetix Vulnerability Tester \- Penetration Testing: Advanced Tunneling and Exfiltration \- AWS Fundamentals

Pradip S.

Information technology developer in India (UTC+6)

With over a decade of hands-on experience in the DevOps ecosystem, I am dedicated to helping organizations harness the power of automation, cloud technology, container technology and continuous integration/continuous deployment (CI/CD) pipelines to streamline operations and accelerate software delivery. Throughout my career, I have successfully led numerous DevOps initiatives for a diverse range of clients, from startups to Fortune 500 companies, across various industries. 🏅 Certified AWS Sysops Administrator - Associate 🏅 Certified Kubernetes Administrator and Certified Kubernetes Security specialist ✅ I help startups & established companies with : ✓ CICD Adoption & Pipeline automation ✓ DevOps/MLOps Consulting & Platform Engineering ✓ Cloud Strategy & Migration ✓ DevSecOps & Cloud Security ✓ Infrastructure Management & Automation ✓ Application Observability ✓ Kubernetes Consulting ✓ Cloud Cost Optimization ✓ Cloud & Infrastructure compliance 💎 Technical Skills: ☆ Kubernetes, Docker, Openshift, Rancher, ArgoCD, Helm ☆ AWS, Azure, GCP, Vmware ☆ Jenkins, Azure DevOps ☆ Terraform, Ansible, Vault ☆ Grafana, Promethues, Thanos, Loki, Open Telemetry, Elastic Stack, Sonarqube ☆ Linux, Windows, Shell Scripting ☆ GIT, Github, Gitlab, Bitbucket, JIRA ☆ Excellent technical and logical problem-solving skills

Vishnu G.

Vetted Information technology developer in India (UTC+6)

I am a self-taught, creative engineer with expertise in multiple domains including software, electronics, embedded systems, and mechanical engineering. I thrive on cross-domain projects, leveraging my skills and knowledge to solve complex problems from unique angles. I enjoy tinkering with technology, experimenting with DIY projects, and collaborating with others to bring ideas to life. I am ambitious and driven, always seeking to push the boundaries of what is possible through the creative application of engineering principles.

Sonu R.

Vetted Information technology developer in India (UTC+6)

Passionate Fullstack Developer with 10 years of professional experience as Full Stack Developer. Proficient in technologies like Java, J2EE, Spring, Spring Boot, Hibernate, Restful Services, Message Queue, Kafka, Kubernetes, Angular 2+, React, Oracle, SQL and JUnit Proficient in Data Structures, Algorithms, System Design and Test Driven Develpment. Extensive expertise in working with Distributed System components like Load Balancers, Distributed Caches, Message Queues and Microservices architecture concepts like Inter Process Communication, Service Discovery and API Gateways.

Meet M.

Vetted Information technology developer in India (UTC+6)

* Experienced in leveraging AWS technologies (Lambda, EC2, Beanstalk, DynamoDB, RDS, EMR, S3, SQS, etc) and opensource technologies like Cassandra, RabbitMQ, etc to solve problems and develop solutions. * I also have experience with various data science and quant libraries like numpy, pandas, scipy, quantlib, pinescript, etc. * I am someone who is empathetic, patient but a go-getter who likes to learn by doing and hacking. * I hold myself to high standards of a software professional. This means that I am committed to: write the best code I can produce in the scope of the project, accountability, responsiveness, and setting clear expectations.

Sathiyajith S.

Vetted Information technology developer in India (UTC+6)

I am a skilled Software Engineer with experience in implementing data privacy practices, developing multi-tenancy architecture, and designing high-performance portals. Proficient in Java, Cloud, Spring Boot, Microservices, and Machine Learning.

Ajay P.

Vetted Information technology developer in India (UTC+6)

Creative Senior Front-end Developer with 10+ years of experience leveraging JavaScript to build responsive websites, mobile apps, and interactive features that drive business growth and improve UX. Worked with Angular 8 forms, modules, DOM, events, expressions, controllers, pipes and Http Request. • Involved to implement various screens for the front end using ReactJS and used various predefined components from NPM (Node Pack Manager). Worked with forms, modules, DOM, events, expressions, Http Request.

Deepak A.

Vetted Information technology developer in India (UTC+6)

Deepak is a Cloud Architect/Specialist/Consultant/Enthusiast, SRE, and Observability Engineer with over a decade of intense professional experience. He has architected and built multiple platform-agnostic infrastructures from scratch for modern cloud systems. Deepak has a proven track record of hands-on operations in high-scale environments. He is also proficient with Cost Optimisation, IaC, Automation, Cloud Security, Migrations, Deployment Pipelines, as well as Observability.

shankar K.

Vetted Information technology developer in India (UTC+6)

· Over 18 years of experience in software development including leadership roles in **Project Management, Architecture Design, Research & Innovation** · More than 12 years of experience in leading and implementing data analytics using descriptive, predictive, and prescriptive analytics across diverse domains, including **Telecom, Finance, Customer and Marketing Analytics, as well as Network and Cybersecurity analytics** · **Master’s** in data science and engineering from BITS Pilani · Extensive hands-on experience in leveraging **Business Intelligence, Big Data tools Statistical Models, Machine Learning, Deep Learning, NLP techniques, Large Language Models (LLMs), Forecasting Techniques, Recommendation systems, and Graph Analytics** to deliver innovative and data-driven solutions · Hand-on experience in multiple programming languages like **C, C++, Java, Scala, Golang** and Proficient in **Python** · Hands-on experience with data science frameworks and tools, including **Spark, Scikit-learn, TensorFlow, PyTorch, Lang Chain, OpenLLM, Vertex AI, Azure AI, and AWS Sage Maker** · Spearheaded **Advanced** **Research & Innovation,** developing proof-of-concepts **(POCs)** to solve complex business challenges · Designed and implemented Generative AI applications using **LLMs**, **RAG systems** with **Lang Chain** Framework and **Prompt Engineering** · In-Depth understanding of state-of -the-art language models (LLMs) and architectures, training and fine-tuning methodologies · Deployed scalable End to End Big data AI/ML solutions in **AWS/GCP** cloud and on-prem Infrastructure, leveraging Containerization Technologies (**Docker, K8S**), **ML Ops**, and **CI/CD** automated pipelines to deliver enterprise-grade solutions · **Built, led and mentored** a high-performing Data Science Team, fostering a culture of innovation and continuous learning · Literature review, workshops, conferences and publish papers · Published my research as chapter in Rever Publishers: **Implementing Enterprise Cyber Security with Open-Source Software and Standard Architecture: Volume II**

Raghav P.

Vetted Information technology 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