Harshit Sharma

HS

Looking for a job

Harshit Sharma

@harshitsharma16

AI Engineering Intern at Altysys who built RAG document Q&A systems and agentic research pipelines with LangChain and LangGraph.

At Altysys, I built document Q&A systems using Retrieval-Augmented Generation with LangChain, ChromaDB, and Groq LLMs. I also developed agentic research pipelines with LangGraph and deployed conversational AI applications on Streamlit.

On CodeSentinel, I architected a multi-agent code review platform and built a RAG-backed ingestion pipeline for GitHub URLs and ZIP uploads. I also developed a deep learning pipeline for identifying Non-Manual Features in Indian Sign Language.

Experience

Work history, roles, and key accomplishments

AL

AI Engineering Intern

Altysys

Dec 2025 - Apr 2026 (4 months)

Built document Q&A systems using RAG with LangChain, ChromaDB, and Groq LLMs. Developed agentic research pipelines with LangGraph and deployed conversational AI applications on Streamlit.

RAG Lang Chain ChromaDB GROQ LangGraph Streamlit Prompt Engineering Vector Ingestion LLM Evaluation

Education

Degrees, certifications, and relevant coursework

LU

Lovely Professional University

Bachelor of Technology, Computer Science and Engineering

2023 -

Grade: 8.45 CGPA

Pursuing a Bachelor of Technology in Computer Science and Engineering with a current CGPA of 8.45.

PS

Police D.A.V Public School

12th, General

2022 - 2023

Grade: 81.80%

Completed 12th grade with 81.80%.

PS

Police D.A.V Public School

10th, General

2020 - 2021

Grade: 93.80%

Completed 10th grade with 93.80%.

Tech stack

Software and tools used professionally

GitHub

MySQL

PostgreSQL

MongoDB

Next.js

Python

C++

PyTorch

Streamlit

FastAPI

Linux

Git

Docker

LangChain

ChromaDB

Groq

LangGraph

Sentence Transformers

Availability

Looking for a job

Location

India

Authorized to work in

Portfolio

github.com/Harshit-077/CodeSentinel

Salary expectations

70k+ INR

Social media

Job categories

AI Engineer Machine Learning Engineer Software Engineer

Skills

AI Machine Learning Deep Learning Natural Language Processing RAG Agentic AI Multi Agent Systems Convolutional Neural Networks Document Question Answering Prompt Engineering Vector Databases Semantic Search Hybrid Retrieval Model Optimization API Integration

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