LangChain, LangGraph, Google Gemini, RAG pipelines, ChromaDB, FAISS, prompt engineering, multi-model fallback chains, and AI agent workflows -proven through production-deployed AI platforms.
Scikit-learn, XGBoost, PyTorch, TensorFlow, NLP (Whisper, BART, KeyBERT), feature engineering, cross-validation -backed by ONGC internship (87% accuracy on 15K+ records) and multiple applied ML projects.
React, Next.js, FastAPI, HTML/CSS/JS, Shopify (Liquid, APIs) -building end-to-end AI products from interactive frontends to scalable backends with real-time execution feedback.
Docker, GitHub Actions CI/CD, MLflow, AWS (S3, EC2, IAM -Solutions Architect certified), GCP BigQuery -containerizing and deploying AI systems for production reliability.
B.Tech – Computer Science Engineering (AI-ML Specialization)
CGPA: 8.00 | Pre-Final Year, Semester 6
Rajasthan, India
Python (primary), JavaScript/ReactJS, SQL, HTML/CSS
LangChain, LangGraph, Google Gemini, Groq (Llama-3), Hugging Face Transformers, RAG pipelines, ChromaDB, FAISS, prompt engineering, AI agent workflows
Scikit-learn, XGBoost, PyTorch, TensorFlow, NLP (Whisper, BART, Flan-T5, KeyBERT, MiniLM), Pandas, NumPy, Matplotlib, Seaborn, Power BI
React, Next.js, FastAPI, Docker, GitHub Actions (CI/CD), MLflow, AWS (S3, EC2, IAM), GCP BigQuery, Firebase, MongoDB, Shopify
Machine Learning, Deep Learning, NLP, Data Structures & Algorithms, Probability & Statistics, DBMS, Business Intelligence
LangGraph orchestrates multi-step Gemini reasoning to convert plain-English test cases into Playwright browser automation; real-time reporting captures pass/fail KPIs across 10+ test scenarios. Reduced manual QA scripting by 40%.
7-step async NLP pipeline integrating 5 ML models (Whisper ASR → BART summarization → Flan-T5 quiz generation → KeyBERT keyword extraction → MiniLM semantic search) to transform 1-hour audio lectures into study guides.
Full-stack RAG application using LangChain + ChromaDB; scrapes job postings, semantically matches requirements to portfolio projects, and generates tailored emails in under 10 seconds with multi-provider LLM fallback (Gemini → Groq Llama-3).
Full-stack AI product: multivariate feature engineering pipeline, XGBoost model achieving R² > 0.80, Gemini AI integration with multi-model fallback, CI/CD via GitHub Actions, Docker Compose one-command deployment.
Four industry internships and active freelance work across AI engineering, applied ML, data analytics, geoscience AI, and full-stack development.
As an AI Engineering Intern at Infosys Springboard, I architected an end-to-end AI-powered automated testing platform using LangGraph, Google Gemini, FastAPI, and Playwright -reducing manual QA scripting time by 40%. At Edunet Foundation, I built HydrAI, a full-stack water demand prediction platform achieving R² > 0.80 with Docker and CI/CD deployment.
At VOIS, I performed advanced SQL analysis on telecom datasets and automated ETL data-cleaning workflows. At ONGC, I developed ML models on 15,000+ geological records achieving 87% accuracy and improved reservoir zone interpretation efficiency by 25%.
As a freelance Shopify developer, I built and deployed 2 production eCommerce stores for the Svastya Wellness brand with custom Liquid sections and third-party integrations.
| Age | 21 |
|---|---|
| Residence | India |
| Address | Jaipur, Rajasthan |
| kabhay0120@gmail.com | |
| Phone | +91 70440-05682 |
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