Hi, I'm Sameer Garg,

Software Engineer — GenAI & Full-Stack Developer

I build AI-powered tools and full-stack apps — from RAG pipelines and multi-agent systems to production booking platforms.

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Technical Stack

My Skillset

The core technologies I use to build scalable applications.

Core Dev

C++85%
Python90%
SQL75%
HTML/CSS80%
FastAPI85%
RESTful APIs85%
Git/GitHub90%

AI & Data

LangChain85%
LangGraph75%
RAG Architecture85%
MCP Servers80%
Gemini API80%
TensorFlow70%
OpenCV75%
PostgreSQL/Neon80%
MongoDB70%
Qdrant Cloud75%

Here's how I turn ideas into real-world applications.

1. Research

I start by understanding the problem, constraints, and what a working solution actually needs to do.

2. Architect

I design the system — data flow, APIs, and how each piece talks to the others — before writing implementation code.

3. Build

I build in focused increments, testing each piece as it comes together rather than all at once at the end.

04 Ship & Iterate

I deploy, monitor real usage, and refine based on what actually happens in production.

Ready to ship! 🚀

Work Experience

Hands-on roles where I applied engineering principles and built real-world tools.

Junior Software Engineer Intern

Dr. Odin Panchkula, Haryana Jun 2026–Present

Highlights

  • Built a RAG-based tool with a 3-provider LLM failover chain for drafting CDSCO regulatory responses.
  • Engineered a secure React Native + Express clinic app featuring BLE device capture and an e-prescription system.
  • Upgraded the LupusCalculator data infrastructure by migrating to a Neon (PostgreSQL) database and redeploying on Render.

Technologies

RAG React Native Express PostgreSQL Render

AI Technical Trainee

Altruist Technologies Panchkula, Haryana Apr–Jun 2026

Highlights

  • Engineered precise system prompts and multi-turn logic for production voice bots, mapping 10+ complex user intents across financial and retail workflows.

Technologies

Prompt Engineering Voice Bots Conversational AI

Projects.

01
Flagship Project

Autocare AI

FastAPI LangChain Gemini 2.5 Flash Qdrant Cloud MCP

An end-to-end conversational booking RAG pipeline with a 5-step booking state machine, averaging 6.34s latency across 31 test evaluations. Integrates MCP tool-calling for Google Calendar sync, with a fallback booking UI for resilience.

GitHub
02

Answer Sheet Checking

Python OpenCV TensorFlow Tkinter Flask

An MCQ grading system using a CNN trained on 10,200 labeled bubble-region images. Ships both a Tkinter desktop GUI and a Flask web API covering answer key upload, batch grading, and CSV/XLSX export.

GitHub
03

RubiksCV

Python C++17 OpenCV Flask JavaScript

A full-stack Rubik's Cube solver — webcam-based scanning paired with a custom C++17 two-phase Kociemba solver (2,100+ LOC, IDA* search over ~4M precomputed pruning-table entries), guiding users through physical moves with a manual-correction fallback.

GitHub

Leadership & Achievements.

Leadership

Team Lead

Blue Skies: Solar for Everyone Patiala, Punjab Jan–May 2025

Led a 5-member team through systems-thinking prototyping and market research, ranking in the top 10% of 100+ competing teams.

Achievement

200+ Algorithmic Challenges

LeetCode Ongoing

Practiced 200+ algorithmic challenges, refining code efficiency, debugging, and computational thinking skills.

Soft Skills.

Problem Solving

Breaking down complex issues into logical, scalable solutions.

Adaptability

Quickly learning new tech stacks and pivoting when requirements change.

Leadership

Guiding teams, taking ownership, and driving projects to successful completion.

Time Management

Balancing parallel projects while delivering quality code on schedule.