SDE Fresher • DSA & Systems • Full Stack

Hey, I'm Neetu

I'm a full-stack and systems-focused engineer who builds production-grade software — RBAC-secured backends, RAG pipelines, and scalable agentic tooling. I'm looking for SDE/SWE roles at companies where I can bring that same engineering rigor to systems built for real scale.

100+ DSA problems solved Adobe Hackathon Top 4000/2L+ Goldman Sachs Hackathon Top 2000/10K
profile

About Me

I'm a Computer Science Engineering student at Banasthali Vidyapith (2027 batch) with a builder's mindset — I like taking systems from a blank file to something real users actually touch. My work spans full-stack engineering, from RBAC-secured platforms and REST APIs to applied GenAI: RAG pipelines, agentic tool orchestration with LangGraph/LangChain, and retrieval systems built for real latency constraints.

I'm currently an Intern at C-DAC, architecting an EEG Analysis Agent designed for research-scale data — workspace isolation, disk-backed artifact storage, and reproducible experiment tracking. Before that, I worked as a Product Intern owning features end-to-end for a live product, which is where I picked up the habit of asking "who is this for and why" before writing a single line of code.

Outside of shipping, I compete — placing in the Adobe India and Goldman Sachs India hackathons, and leading community initiatives at OSCode and GirlScript Summer of Code. I'm now looking for SDE/SWE roles where I can bring both engineering rigor and ownership to systems built at scale.

Experience

Intern — C-DAC, Delhi (July 2026 – Present)

Architecting an EEG Analysis Agent (LangGraph, LangChain) for scale: workspace-based isolation per researcher and a reference-based Artifact Store so large EEG datasets are never fully loaded into memory. Designing a category-based Tool Registry and Cache Manager so an 11+ tool toolkit scales without re-architecting lookup logic; integrating Langfuse and MLflow for auditable, reproducible experiment tracking.

Managing Director — OSCode BV (Jun 2026 – Present)

Progressed from Tech Team Member to Co-Lead to Managing Director over 2 years. Organized 15–20+ online and offline events and grew chapter participation to 200+ members, while balancing technical leadership with community operations.

Product Intern — OSCode / Urbuddy (Jan 2026 - Apr)

Owned features end-to-end for a live product used by real users — wrote PRDs and BRDs, shipped features from spec to release, and used PostHog analytics to track engagement and inform product decisions.

Web Developer — ACMBV Student Chapter (Jan 2025 – Mar 2025)

Built a responsive site (HTML5, CSS3, Bootstrap) with 100% mobile compatibility, increasing user engagement by 40% across 5+ device types. Ran a Git workflow with 20+ commits across a 3-person team, cutting development conflicts by 80%, while shipping 3 key features and improving page load speed by 35%.

PR Lead — GirlScript Summer of Code (Apr – Sept 2024)

Selected as lead from 750+ applicants; drove outreach that crossed an all-time-high 27K+ registrations for the program.

Skills

Frontend

  • React.js
  • HTML5, CSS3, Bootstrap
  • JavaScript

Backend

  • Node.js, Express.js
  • FastAPI
  • MongoDB, MySQL
  • JWT Auth, RBAC

AI / ML / GenAI

  • RAG, FAISS, LangChain/LangGraph
  • Gemini API, Prompt Engineering
  • Scikit-learn, TF-IDF, Semantic Search

Languages & Tools

  • C, C++, Python, Java
  • Git, GitHub, Docker
  • VS Code, Jupyter, Figma

Projects

CodebaseAI Assistant

RAG pipeline enabling natural-language querying over any public GitHub repo using Gemini 2.5 Flash. AST-based chunking across 5 file formats, FAISS-indexed embeddings achieving 50–90ms retrieval latency and 3s end-to-end response time. MD5-based caching cuts repeat-query latency to under 0.1s. Dockerized for one-command deployment.

Startup Vidyapith

Full-stack RBAC platform (React, Node.js, Express, MongoDB) with JWT auth, bcrypt hashing, and time-boxed, replay-safe OTP verification. Diagnosed and fixed a production OOM crash by replacing transformer embeddings with a TF-IDF pipeline — a deliberate accuracy-for-stability tradeoff that kept the app within free-tier memory limits. Integrated an independently deployed FastAPI ML microservice via REST for recommendations.

Sundry : Laundry Management System

A desktop-based management system for laundry businesses with order tracking, billing, and customer management workflows. Prepared project documentation as well.

ML Salary Estimator

A machine learning regression system that predicts salary based on experience and skill features, deployed using Streamlit for real-time inference.

Achievements

1. Winner — SIH Internal Hackathon (only 2nd-year team to win)

2. Winner — GFG x BV Ideathon

3. Top 4000 / 2L+ teams — Adobe India Hackathon 2025

4. Top 2000 / 10K+ — Goldman Sachs India Hackathon 2026

5. McKinsey Forward Program 2026 Alumni · AlgoUniversity Fellowship (Stage 2)

6. 50 Day Streak — Matiks

7. HackerRank Certified — Software Engineer Intern

Let's Connect

Interested in collaborating, research opportunities or building something impactful?

Email Me