06/19/2026 updated
100 % available
AI/ML Engineer | Generative AI | RAG & Multi-Agent Systems
Pune, India
Only remote
Master of Technology (M.Tech) in Infrastructure Design Management, IIT Kharagpur, CGPA: 9.09/10About me
I am passionate about building practical AI products that bridge research and industry, with a strong focus on system design, automation, and delivering measurable business impact.
AI AgentsRAGLLMLangChainHTMLJavaScriptCascading Style Sheets (CSS)Python (Programming Language)TypeScriptPyTorchReact.jsFastAPIRestful Api
Generative AI & Large Language Models (LLMs)
Expertise in building end-to-end Generative AI solutions using LLMs, RAG pipelines, Prompt Engineering, LangChain, LangGraph, and OpenAI API. Development of intelligent retrieval systems with vector databases such as FAISS, Qdrant, and ChromaDB, achieving high retrieval accuracy in production environments.
Machine Learning & Deep Learning
Strong foundation in Machine Learning, Deep Learning, NLP, and Computer Vision using Python, PyTorch, TensorFlow, and Scikit-learn. Building predictive analytics and classification models, including XGBoost models with high accuracy and ROC-AUC scores on large structured datasets.
Backend Development & MLOps
Building scalable backend services and production-ready AI applications using FastAPI, PostgreSQL, Redis, Celery, Docker, and CI/CD pipelines. Experience with AWS (EC2, S3), MLflow, GitHub Actions, and LangSmith for model tracking, deployment, and monitoring.
Multi-Agent AI Systems
Design and integration of multi-agent AI systems consisting of parsing, context extraction, question generation, validation, and explanation agents with automated quality checks and retry mechanisms using LangGraph and OpenRouter.
Data Science & Exploratory Data Analysis
Performing data preprocessing, exploratory data analysis (EDA), feature engineering, model training, and evaluation on large structured datasets using Pandas, NumPy, and Scikit-learn.
Cloud & Infrastructure (AWS)
Working with AWS services including EC2 and S3 for deploying and scaling AI applications, combined with tools like LangSmith, Cursor, Claude Code, and Windsurf.
Programming Languages
Proficiency in Python, JavaScript, and SQL for developing AI/ML solutions, backend services, and data pipelines.
Analytical Dashboards & Reporting
Building analytical dashboards and automated reporting workflows using Streamlit and MLflow to support business decision-making and operational efficiency.
Expertise in building end-to-end Generative AI solutions using LLMs, RAG pipelines, Prompt Engineering, LangChain, LangGraph, and OpenAI API. Development of intelligent retrieval systems with vector databases such as FAISS, Qdrant, and ChromaDB, achieving high retrieval accuracy in production environments.
Machine Learning & Deep Learning
Strong foundation in Machine Learning, Deep Learning, NLP, and Computer Vision using Python, PyTorch, TensorFlow, and Scikit-learn. Building predictive analytics and classification models, including XGBoost models with high accuracy and ROC-AUC scores on large structured datasets.
Backend Development & MLOps
Building scalable backend services and production-ready AI applications using FastAPI, PostgreSQL, Redis, Celery, Docker, and CI/CD pipelines. Experience with AWS (EC2, S3), MLflow, GitHub Actions, and LangSmith for model tracking, deployment, and monitoring.
Multi-Agent AI Systems
Design and integration of multi-agent AI systems consisting of parsing, context extraction, question generation, validation, and explanation agents with automated quality checks and retry mechanisms using LangGraph and OpenRouter.
Data Science & Exploratory Data Analysis
Performing data preprocessing, exploratory data analysis (EDA), feature engineering, model training, and evaluation on large structured datasets using Pandas, NumPy, and Scikit-learn.
Cloud & Infrastructure (AWS)
Working with AWS services including EC2 and S3 for deploying and scaling AI applications, combined with tools like LangSmith, Cursor, Claude Code, and Windsurf.
Programming Languages
Proficiency in Python, JavaScript, and SQL for developing AI/ML solutions, backend services, and data pipelines.
Analytical Dashboards & Reporting
Building analytical dashboards and automated reporting workflows using Streamlit and MLflow to support business decision-making and operational efficiency.
Experience
Professional experience0 - 5 years
Freelancer since2026
Languages
EnglishFluent
Project history
Developing an AI-powered Applicant Tracking System (ATS) using FastAPI, React, PostgreSQL, Redis, Celery, LangGraph, and Vector Databases to automate candidate screening, resume parsing, semantic search, and recruiter workflows. Built scalable backend services for resume parsing, candidate evaluation, job matching, recruiter dashboards, audit tracking, and asynchronous processing. Implemented RAG pipelines using embeddings, vector search, reranking, and LLMs. Developed an Interview Intelligence Platform using LangGraph, OpenRouter, FastAPI, and React. Designed multi-agent AI systems and worked with FAISS, Qdrant, LangSmith, MinIO, AWS, Docker, GitHub Actions, and CI/CD pipelines.
Architected a production-grade RAG system using LangChain and FAISS vector database with cross-encoder reranking achieving 82% top-5 retrieval accuracy. Integrated OpenAI API for grounded answer generation with source attribution; evaluated using RAGAS metrics; deployed interactive Streamlit chat application with CI/CD.
Performed EDA on 400K financial records with data cleaning and feature engineering (22 features across 5 EMI scenarios); built XGBoost models achieving 94.82% accuracy, 0.9953 ROC-AUC for classification and INR 987.76 RMSE with 0.9778 R2 for regression. Deployed Streamlit Cloud application with MLflow tracking, real-time REST API, and CI/CD pipeline, reducing loan processing time by 80%.