> AI ENGINEER - DATA ENGINEER - PYTHON DEVELOPER

I build AI & Data Solutions that actually works....

Entry-level Data & AI Engineer actively looking for full-time roles in the Pune tech ecosystem. I build end-to-end data solutions, from robust data pipelines and analytics to LLM-powered AI agents. Experienced in Python, Data Engineering, and integrating Generative AI into practical applications.

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8.36CGPA
2Internship
15+Projects

Education

VIIT Pune · B.Tech AI & Data Science

Batch 2022-26 · CGPA 8.36

About Me

Hi, I'm Vikrant 👋

I'm a 2026 AI & Data Science graduate from Vishwakarma Institute of Information Technology, Pune, currently working as a Gen AI Intern at Bajaj Tech.AI.

I'm focused on Generative AI and AI Engineering, with hands-on experience building AI-powered applications using LLMs, RAG, AI agents, LangChain, LangGraph, Python, and cloud platforms like Azure and AWS.

My interests extend across Machine Learning, Data Engineering, backend development, and scalable AI systems. I enjoy working at the intersection of AI and software engineering — turning ideas into practical, production-oriented applications rather than just prototypes.

One of the projects I've worked on is an AI-powered recruitment voice agent SaaS platform, combining conversational AI, automation, and modern backend technologies to solve a real-world hiring problem.

Currently, I'm deepening my expertise in AI agents, retrieval systems, LLM applications, and cloud-based AI solutions, while continuously exploring new ways to build reliable and useful AI products.

Skills

Technical Stack

Core technologies used across AI applications, backend systems, and deployment workflows.

01

LLMs & GenAI

  • LangChain
  • LangGraph
  • CrewAI
  • OpenAI
  • Claude API
  • Hugging Face
  • RAGAS
  • RAG
  • LLM Fine-tuning
  • Prompt Engineering
02

AI/ML

  • Python
  • Scikit-learn
  • TensorFlow
  • Pandas
  • DVC
  • FAISS
  • Pinecone
  • spaCy
  • NLTK
03

Web & Backend

  • ReactJS
  • Next.js
  • FastAPI
  • NodeJS
  • Django
  • TypeScript
  • RestAPI
  • SQL
04

DevOps & MLOps

  • Docker
  • GitHub Actions
  • CI/CD
  • MLflow
  • AWS (Basic)
  • Git
  • Docker Compose
  • LangSmith

Experience

Where I've Worked

Hands-on delivery of practical systems during internship experience.

Gen AI Intern @ Bajaj Finserv

InternshipAug 2026 - Present

Enterprise Chatbot & RAG Evaluation

Developing an enterprise chatbot for four group entities using Microsoft Azure AI Foundry and evaluating RAG performance.

  • Azure AI Foundry
  • RAG Evaluation
  • LLMs
  • Building a centralized chatbot solution tailored for four distinct Bajaj group companies using Microsoft Azure AI Foundry.
  • Developing evaluation pipelines to assess and optimize the performance of Retrieval-Augmented Generation (RAG) applications.
  • Improving response accuracy and reliability through systematic testing and metric evaluation.

AI Engineer Intern @ The Data Tech Labs

InternshipSept 2025 - Feb 2026

AI-Powered Banking Support Assistant

Built a RAG-powered assistant for banking support with both text and voice responses.

  • RAG
  • LangChain
  • Voice AI
  • Designed retrieval flow to ground responses in policy and product knowledge.
  • Implemented voice input/output loop for faster customer support interactions.
  • Improved response quality with context chunking and prompt strategies.

AI Business Requirement System

Created an LLM pipeline that transforms user requirements into DOCX, PDF, and JPEG deliverables.

  • LLMs
  • FastAPI
  • Template Automation
  • Developed backend services to generate formatted documents from structured prompts.
  • Introduced reusable templates for consistent output quality and speed.
  • Automated multi-format exports for business and product teams.

Projects

Selected Work

A focused selection of production-minded projects and case-study builds.

PRJ-01

Live
Source

Demo preview

AI Recruitment Agent

End-to-end AI recruitment system for resume analysis, JD similarity search, interview Q&A generation, and automated feedback using RAG + LLMs.

  • Python
  • LangChain
  • Groq API
  • FAISS
  • Pinecone
  • Streamlit
  • Docker
Pipeline
RAG + LLM
Search
FAISS + Pinecone
Mode
End-to-End
DemoView Code

PRJ-02

Live
Source

Demo preview

Quick Clip - AI Short Video Generator

Scalable AI pipeline for automated short video generation - LLM scripting, voice synthesis, video rendering, and semantic titling end-to-end.

  • Next.js
  • Gemini 2.5 Flash
  • Firebase
  • Replicate API
  • Google TTS
  • Docker
Engine
LLM + TTS + Video
Flow
Automated
Scale
Cloud-ready
DemoView Code

PRJ-03

Live
Source

Demo preview

CodeGuardian – AI Powered DevSecOps Agent

AI-powered security analysis platform that combines static code analysis, RAG, and LLM reasoning to detect vulnerabilities, explain security risks, suggest fixes, and generate risk-scored reports.

  • Python
  • FastAPI
  • FAISS
  • RAG
  • OWASP
  • CWE
  • NVIDIA NIM
  • Docker
ANALYSIS
AST + SAST
KNOWLEDGE
FAISS + RAG
SECURITY
Risk Scoring
DemoView Code

PRJ-04

Prototype
Source

Demo preview

Cloud-based Face Recognition System

Cloud-based Face Recognition System utilizing AWS Rekognition, S3, Lambda, and DynamoDB. This serverless architecture demonstrates face detection, secure image storage, and intelligent metadata management through automated processing pipelines.

  • Python
  • Amazon Rekognition
  • Amazon S3
  • AWS Lambda
  • Amazon DynamoDB
Architecture
Serverless
Engine
Rekognition API
Storage
S3 + DynamoDB
DemoView Code

PRJ-05

Live
Source

Demo preview

Agentic ETL Self-Healing Data Pipeline

End-to-end Agentic ETL pipeline orchestrated by Apache Airflow that autonomously ingests Yelp reviews, diagnoses & heals data quality issues, and performs AI-powered sentiment analysis using Ollama (llama3.2:3b). 100% Docker containerized with 12% auto-repair rate on real-world data.

  • Python
  • Apache Airflow
  • Ollama (llama3.2:3b)
  • PostgreSQL
  • Docker
  • Docker Compose
Success Rate
88%
Heal Rate
12%
Model Confidence
91.5%
DemoView Code

PRJ-06

Live
Source

Demo preview

Flights Operations — Data Engineering Pipeline

Production-oriented data engineering pipeline that ingests live global flight data from OpenSky Network, processes it through a bronze → silver → gold medallion architecture, and loads aggregated results to Snowflake. Orchestrated with Apache Airflow on Docker Compose.

  • Python
  • Apache Airflow
  • Snowflake
  • PostgreSQL
  • Docker
  • pandas
  • OpenSky API
Architecture
Medallion
Schedule
Every 30 min
Scale
6,000+ Flights
DemoView Code

Achievements

Recognition

Research publication and certifications that support practical engineering outcomes.

IEEE logo placeholder

IEEE ESCI 2025

2025

Dynamic StarCraft: Multi-Agent Generative AI for Immersive Experiences

International Conference on Emerging Smart Computing and Informatics

Certification

Foundations of Data Science

Coursera

Certification

Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith

Udemy

Certification

IBM Fullstack Course

IBM

Contact

Let's Build Something

Share your idea, role, or collaboration request. I will reply with a practical execution plan.

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