07/02/2026 updated
100 % available
Senior AI/ML Developer & Data Scientist
Kalyan, India
Only remote
B.Tech in Electronics and Computer Science (CGPA: 9.58), Mumbai UniversityAbout me
AI/ML Engineer specializing in agentic AI, NLP & full-stack ML systems. I build production-ready AI agents, RAG chatbots, recommendation engines & automation workflows using Python, LangChain, PyTorch & vector DBs. Real-world experience in real estate & fashion-tech AI.
GitHub CopilotLangChainC++ (Programming Language)Extract Transform Load (ETL)GitHubPython (Programming Language)PostgreSQLMongoDBMySQLNLTK (NLP Analysis)NumPyTensorFlowSupport Vector MachineSalesforce TableauJupyter Notebook
AI & Machine Learning Development
Expertise in building AI systems including multi-agent architectures, sentiment analysis, recommendation engines, and real-time signal monitoring using PyTorch, TensorFlow, Scikit-Learn, Hugging Face, and Deep Learning frameworks such as CNNs and LSTMs.
Python & Multi-Language Programming
Proficiency in Python, C++, C, and Java for developing scalable applications, data pipelines, and AI-driven platforms, complemented by experience with NLP libraries such as SpaCy, NLTK, and Pandas.
Full-Stack & Platform Engineering
Hands-on experience developing full-stack AI-powered platforms using tools like LangChain, Docker, REST APIs, PostgreSQL, MySQL, Vector Databases, and cloud-based environments including Google Colab and Jupyter Notebook.
Natural Language Processing (NLP)
Application of NLP techniques for text-to-video translation, churn prediction analytics, and context-aware marketing guidance using LangChain RAG and NLP-driven analytics.
Data Engineering & Feature Engineering
Analysis of large datasets (7,000+ customer records), feature engineering, data preprocessing, and cross-validation using Random Forest, Logistic Regression, and comparative feature analysis achieving 84%+ AUC performance.
Database Management
Experience with relational and vector databases including PostgreSQL, MySQL, Pinecone, and ChromaDB for structured and unstructured data storage and retrieval.
Data Visualization & BI Tools
Use of Power BI and Tableau for business intelligence reporting and data-driven insights, alongside Jupyter Notebook and Google Colab for exploratory data analysis.
Computer Vision
Implementation of image classification and gesture recognition systems using OpenCV and CNN-based architectures, applied in the Indian Sign Language translation project.
DevOps & Version Control
Utilization of Git, GitHub, Docker, and VS Code for version control, containerization, and collaborative software development workflows.
Constraint & Compliance System Design
Design of constitutional constraint modules enforcing compliance rules such as FSSAI, ShelfLife, and IngredientGrade standards with immutable audit logging and threshold-based detection systems.
Expertise in building AI systems including multi-agent architectures, sentiment analysis, recommendation engines, and real-time signal monitoring using PyTorch, TensorFlow, Scikit-Learn, Hugging Face, and Deep Learning frameworks such as CNNs and LSTMs.
Python & Multi-Language Programming
Proficiency in Python, C++, C, and Java for developing scalable applications, data pipelines, and AI-driven platforms, complemented by experience with NLP libraries such as SpaCy, NLTK, and Pandas.
Full-Stack & Platform Engineering
Hands-on experience developing full-stack AI-powered platforms using tools like LangChain, Docker, REST APIs, PostgreSQL, MySQL, Vector Databases, and cloud-based environments including Google Colab and Jupyter Notebook.
Natural Language Processing (NLP)
Application of NLP techniques for text-to-video translation, churn prediction analytics, and context-aware marketing guidance using LangChain RAG and NLP-driven analytics.
Data Engineering & Feature Engineering
Analysis of large datasets (7,000+ customer records), feature engineering, data preprocessing, and cross-validation using Random Forest, Logistic Regression, and comparative feature analysis achieving 84%+ AUC performance.
Database Management
Experience with relational and vector databases including PostgreSQL, MySQL, Pinecone, and ChromaDB for structured and unstructured data storage and retrieval.
Data Visualization & BI Tools
Use of Power BI and Tableau for business intelligence reporting and data-driven insights, alongside Jupyter Notebook and Google Colab for exploratory data analysis.
Computer Vision
Implementation of image classification and gesture recognition systems using OpenCV and CNN-based architectures, applied in the Indian Sign Language translation project.
DevOps & Version Control
Utilization of Git, GitHub, Docker, and VS Code for version control, containerization, and collaborative software development workflows.
Constraint & Compliance System Design
Design of constitutional constraint modules enforcing compliance rules such as FSSAI, ShelfLife, and IngredientGrade standards with immutable audit logging and threshold-based detection systems.
Experience
Professional experience0 - 5 years
Freelancer since2026
Languages
EnglishFluentHindiFluent
Project history
Developed an AI agent for a Centralized Real Estate Platform covering market analysis, pricing predictions, and user behaviour insights. Led AI-driven sentiment analysis and personalization for online fashion trials in collaboration with Vasavi Fashion Company. Built the Symbolic Layer and Constraint Graph system translating brand values and operational rules into structured constraint nodes. Engineered the Regime Engine for real-time signal monitoring across cost variance, revenue, and clustering metrics. Designed Constitutional Constraints module enforcing FSSAI, ShelfLife, and IngredientGrade compliance rules with immutable audit logging.
Analyzed a dataset of 7,000+ customers with feature engineering and data preprocessing. Implemented Random Forest and Logistic Regression algorithms optimized through cross-validation, achieving 84%+ AUC performance and identifying key churn indicators.
Developed a comprehensive AI system for fashion e-commerce with 8+ specialized agents, including a personalized recommendation engine, AI-powered styling assistant, intelligent customer care chatbot, and semantic search with knowledge graph for fashion trend analysis.