Kitchen interior
Kitchen interior
Kitchen interior
Kitchen interior
01

GenAI & LLM Engineering

LangChain, LangGraph, Google Gemini, RAG pipelines, ChromaDB, FAISS, prompt engineering, multi-model fallback chains, and AI agent workflows -proven through production-deployed AI platforms.

02

Machine Learning & Data Science

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.

03

Full-Stack AI Development

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.

04

MLOps & Cloud Deployment

Docker, GitHub Actions CI/CD, MLflow, AWS (S3, EC2, IAM -Solutions Architect certified), GCP BigQuery -containerizing and deploying AI systems for production reliability.

AI & ML Engineer

Jaipur, India

VIEW EXPERIENCE
EDUCATION

Education

August 2023 - April 2027 (Expected)

Poornima University, Jaipur

B.Tech – Computer Science Engineering (AI-ML Specialization)

CGPA: 8.00 | Pre-Final Year, Semester 6

Rajasthan, India

WORK EXPERIENCE

Experience

Dec 2025 - Mar 2026

AI Engineering Intern | Infosys Springboard

  • Built an LLM-powered automated testing platform using LangGraph, Gemini, FastAPI, and Playwright
  • Converted natural language into executable test workflows, reducing QA effort by 40%
  • Delivered a low-code interface for non-technical users and optimized model performance
Jan 2026 - Feb 2026

AIML Intern | IBM SkillsBuild – Edunet Foundation

  • Developed HydrAI, a full-stack demand prediction system (Next.js, FastAPI, XGBoost) with R² > 0.80
  • Implemented a fault-tolerant LLM fallback system for reliable AI responses
  • Built and evaluated ML pipelines for data-driven decision-making
Jun 2025 - Aug 2025

Machine Learning Intern | ONGC, Dehradun

  • Built lithology prediction models (Random Forest, XGBoost) with 87% accuracy
  • Applied clustering for reservoir analysis, improving interpretation efficiency by 25%
  • Developed a Streamlit demo for interactive visualization: Link
SKILLS

Skills

Programming Languages

Python (primary), JavaScript/ReactJS, SQL, HTML/CSS

GenAI & LLMs

LangChain, LangGraph, Google Gemini, Groq (Llama-3), Hugging Face Transformers, RAG pipelines, ChromaDB, FAISS, prompt engineering, AI agent workflows

ML & Data Science

Scikit-learn, XGBoost, PyTorch, TensorFlow, NLP (Whisper, BART, Flan-T5, KeyBERT, MiniLM), Pandas, NumPy, Matplotlib, Seaborn, Power BI

Full-Stack & MLOps

React, Next.js, FastAPI, Docker, GitHub Actions (CI/CD), MLflow, AWS (S3, EC2, IAM), GCP BigQuery, Firebase, MongoDB, Shopify

Relevant Courses

Machine Learning, Deep Learning, NLP, Data Structures & Algorithms, Probability & Statistics, DBMS, Business Intelligence

PROJECTS

Projects

AI-Powered Automated Testing Agent

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%.

IntelliLecture -Voice-to-Notes Generator

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.

AI Job Application Writer -RAG Email Generator

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).

HydrAI -Water Demand Prediction Platform

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.

EXPERIENCE

What I've Actually Done

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
E-mail kabhay0120@gmail.com
Phone +91 70440-05682
  • GenAI & LLM Pipelines 90%
  • Machine Learning & Model Engineering 88%
  • Full-Stack AI Development 85%
  • Data Analysis & EDA 85%
  • MLOps & Cloud Deployment 80%
some of my recent works

Portfolio

Here are some of my works. You can go through them all.

View All

Website Built by Abhay

Lithology Prediction
Electrofacies Clustering
Travel Explorer
Treezy
Lithology Prediction
Electrofacies Clustering
Travel Explorer
Treezy
Lithology Prediction
Electrofacies Clustering
Travel Explorer
Treezy
Lithology Prediction
Electrofacies Clustering
Travel Explorer
Treezy
Personal Info

Contact Me

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Feel free to send me a message or any word of appreciation.