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I help businesses turn complex data into practical, production-ready AI that saves time, improves accuracy, and automates real work. As a Data Scientist and AI Engineer with 5+ years of experience, I build ML, Deep Learning, Computer Vision, NLP, and Generative AI systems that run in the real world not just in notebooks. My work spans healthcare, pharma, HR tech, eCommerce, and automation from 3D medical image segmentation and drug discovery to resume-ranking systems, chatbots, and recommendation engines. I own the full pipeline: data preprocessing, modeling, evaluation, and deployment. ⭐ 𝐖𝐇𝐀𝐓 𝐈 𝐂𝐀𝐍 𝐇𝐄𝐋𝐏 𝐘𝐎𝐔 𝐖𝐈𝐓𝐇 ✅ Computer Vision & Medical Imaging - image classification, object detection, 3D MRI segmentation, custom vision pipelines ✅ NLP & LLM Applications - chatbots, document Q&A, resume screening (ATS), text extraction, prompt engineering, OpenAI & LangChain ✅ OCR & Document Intelligence - invoice readers, document parsing, structured data extraction, back-office automation ✅ Predictive Modeling & Analytics - classification, forecasting, recommendation systems, decision support ✅ AI Web Apps & Deployment - Flask, FastAPI, Django, Streamlit, Docker, turning models into APIs and dashboards your team can actually use 💡 𝐖𝐇𝐘 𝐂𝐋𝐈𝐄𝐍𝐓𝐒 𝐖𝐎𝐑𝐊 𝐖𝐈𝐓𝐇 𝐌𝐄 • End-to-end execution: data preprocessing → modeling → evaluation → deployment • Clean, maintainable code focused on performance and reproducibility • Practical AI built for measurable business impact — time saved, accuracy improved, workflows automated • Clear communication, realistic timelines, and reliable delivery 🛠️ 𝐂𝐎𝐑𝐄 𝐒𝐓𝐀𝐂𝐊 • Languages: Python, SQL • ML/DL: TensorFlow, PyTorch, Keras, Scikit-Learn, CNNs, RNNs, Transformers, LSTM, GANs • Computer Vision: 2D/3D classification, detection, segmentation, AntsPy, Nibabel • GenAI & NLP: OpenAI, LangChain, LLMs, prompt engineering, chatbots • Data & Deployment: Pandas, NumPy, MySQL, MongoDB, Flask, FastAPI, Django, Streamlit, Docker, Git 📊 𝐑𝐄𝐂𝐄𝐍𝐓 𝐖𝐎𝐑𝐊 𝐄𝐗𝐀𝐌𝐏𝐋𝐄𝐒 • 3D Whole Brain MRI Segmentation - custom 3D models + preprocessing pipeline, Streamlit UI, Flask API, MySQL storage for real-time medical imaging • AI-Powered Resume Ranking System (ATS) - NLP models with 88% accuracy, integrated via Flask API into HR systems • Drug Discovery & Toxicity Prediction - models at 82% accuracy, identifying 15+ drug-repurposing candidates • WhatsApp AI Chatbot - handled 80% of support queries automatically • OCR Invoice Reader - extracted structured data from 10,000+ invoices 💬 𝐇𝐎𝐖 𝐖𝐄 𝐒𝐓𝐀𝐑𝐓 If you need a Data Scientist / AI Engineer to build computer vision systems, NLP tools, OCR automation, or generative AI applications, send me your project details domain, data, and goals. I'll respond with an honest assessment, a clear technical plan, and realistic timelines to move from idea to working product. 𝐊𝐄𝐘𝐖𝐎𝐑𝐃𝐒 AI/ML Engineer, Data Scientist, Computer Vision Engineer, NLP Engineer, Deep Learning Developer, Generative AI Developer, LLM Developer, Python Developer, OCR Developer, Chatbot Developer, Machine Learning Developer, Resume Screening System, Document AI, Medical Image Segmentation, 3D Segmentation, Brain MRI Segmentation, Recommendation System Developer, Predictive Analytics, OpenAI API, LangChain Developer, Flask API, FastAPI Developer, Django Developer, Streamlit Developer, AI Automation, Model Deployment, AWS AI, Production ML, Intelligent Automation.

I am an AI Engineer with 4+ years of experience building and deploying production-ready AI systems across classical machine learning, deep learning, computer vision, NLP, and Generative AI. Unlike many AI developers who focus only on LLMs, I work across the entire AI stack. I believe the best solution isn't always a large language model or an expensive API. Many real-world problems are better solved using classical machine learning or deep learning, resulting in lower infrastructure costs, faster inference, reduced latency, and greater control over your solution. My goal is always to build the most effective system not the most expensive one. Some of the areas I regularly work in include: * Classical Machine Learning (XGBoost, LightGBM, CatBoost, Random Forests, SVMs, feature engineering, predictive modelling, forecasting, anomaly detection, recommendation systems) * Deep Learning (PyTorch, TensorFlow, CNNs, Transformers, Vision Transformers, knowledge distillation, model optimization) * Computer Vision (object detection, image classification, segmentation, OCR, document understanding, face recognition, multi-object tracking, embedding-based search) * NLP & LLMs (RAG, GraphRAG, agentic workflows, fine-tuning, embeddings, semantic search, document QA, information extraction) * Generative AI applications using OpenAI, Anthropic, Gemini, and open-source models * End-to-end AI pipelines from data collection and preprocessing to training, evaluation, deployment, and monitoring I also have extensive experience optimizing AI models for production through knowledge distillation, pruning, quantization, and efficient inference, making models smaller, faster, and more cost-effective for both cloud and edge deployments. On the engineering side, I work comfortably with Python, FastAPI, PostgreSQL, pgvector, asynchronous programming, Docker, GPU acceleration, and cloud deployments. I build complete AI products and APIs that are designed to scale not just research prototypes. Beyond implementation, I enjoy solving difficult research and engineering problems. Whether it's designing a predictive model, improving model accuracy, reducing inference costs, building an intelligent document processing pipeline, or deploying an LLM application, I focus on solutions that are reliable, maintainable, and practical for production. I also lead a team of AI engineers, giving me experience not only in technical execution but also in planning, code quality, mentoring, and delivering projects on time. If you're looking for someone who can understand the problem first, choose the right AI approach, and build a production-ready solution that balances performance, cost, and scalability, I'd be happy to help.

I am an experienced C/C++/C# (.NET)/Python/Java/Fortran 90 programmer. I specialize in the development of high performance cryptographic implementations , deep neural networks, desktop application development (both GUI and terminal applications), graphics programming with SDL 2.0 or SFML and OpenGL, network programming using sockets (both BSD sockets and WinSock), multi threading, system security enhancing applications and writing operating system level code for both Windows and Linux operating systems. I am deeply familiar with the Windows API as well as POSIX API, and I have extensive experience working with intricate projects that use the OpenSSL libraries, libAV (core libraries of ffmpeg), libcurl, GMP and many more! I prefer developing cross-platform code and I also have experience in using MPI (Message Passing Interface) via OpenMPI for distributed computing. I love writing efficient, elegant and portable code, that works in the most efficient way possible. I am also a fluent speaker and writer of the English language. If I take up a project, be assured that it will be done with the utmost level of perfection that will make your heart content! Please check out the heartfelt reviews from my clients to understand more about me. I hope to work with you and manifest success in your challenging projects. Thankyou very much for checking out my profile! May God Bless You :)

I’m an AI/ML Developer and Python Developer specializing in building practical AI solutions, automation systems, machine learning models, computer vision applications, NLP solutions, and web applications. I have hands-on experience working with Python, Machine Learning, Deep Learning, Computer Vision, NLP, YOLO, OpenCV, TensorFlow, PyTorch, Scikit-learn, Django, Flask, JavaScript, SQL, Git, and REST APIs. I can help businesses and startups turn ideas into working AI-powered products, automate repetitive tasks, process and analyze data, integrate AI APIs, and build reliable backend or web-based solutions. What I can help you with: - AI & Machine Learning solutions - Deep Learning model development - Computer Vision applications - Object detection and image processing using YOLO/OpenCV - NLP and text-processing applications - AI content detection systems - Python automation and scripting - AI agent and workflow automation - API development and third-party API integration - Chatbot and AI API integration - Data processing, cleaning, and analysis - Machine learning model training and evaluation - Django & Flask backend development - REST API development - SQL/database integration - Web application development - Git/GitHub development workflows Technologies: Python | Machine Learning | Deep Learning | Computer Vision | NLP | YOLO | OpenCV | TensorFlow | PyTorch | Scikit-learn | Django | Flask | JavaScript | HTML | CSS | SQL | Git | GitHub | REST APIs I focus on understanding the actual problem before writing code. My goal is to deliver solutions that are functional, maintainable, and easy to extend, rather than simply producing code that works once. Whether you need a small Python automation, an AI model, computer vision system, API integration, AI-powered workflow, or a complete application, I’m ready to help. Let’s turn your idea into a working solution.

Highly experienced Full-Stack Data Scientist / ML Engineer delivering production ready ML models and customised softwares to automate business processes and decision making. 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

I automate data processing and build custom Python solutions for businesses. My image classification system achieved 95% accuracy for quality control, and my noise reduction algorithms improved image clarity by 40%. I specialize in turning messy data into actionable insights and building automation tools that save time and money. Whether you need data analysis, web scraping, or custom Python applications, I deliver clean code with fast turnaround.