AS
Hi, I'm Akshat Sipany
CS Undergrad. Full Stack Developer.

About

Hi, I am Akshat Sipany. CS Undergrad at Scaler School of Technology, Bengaluru.

Work Experience

I

InterviewBee AI

June 2025 - Oct 2025
SDE Intern
  • Designed and deployed 4 advanced real-time interview simulation features, leveraging WebSockets and Deepgram for live voice AI across 100+ user sessions.
  • Integrated streaming LLM response architecture with XML-based prompts, enabling rapid, professional AI-generated interview answers and improving user experience by 35%.
  • Developed an AI-powered suggested answer system utilizing socket events for real-time, context-aware recommendations.
  • Implemented comprehensive usage tracking and rate-limiting middleware for API routes, enforcing 'one-time usage' for unauthenticated users and boosting free-to-paid conversion rates by 20%.
I

Infigon Futures

Apr 2025 - May 2025
SDE Intern
  • Worked on the different products of the company, both consumer facing and internal team products.
  • Built an internal lead management system used across the Business Development, Operations, and Training departments, streamlining the tracking of leads and conversions and improving cross-team collaboration and operational efficiency.
  • Developed a one-click marketing material generator on the company website, enabling business owners to instantly create customized posters, brochures, leaflets, presentations, and business cards from pre-built templates. This streamlined brand collateral creation and significantly reduced design turnaround time.
W

WaveNxt Technologies

Feb 2025 - Apr 2025
SDE Intern
  • Worked on full stack development and validation of test software mainly developed for the latest test and measurement industry.
  • Implemented real-time data streaming from backend to frontend using Socket.IO to dynamically plot live graphs of critical test parameters, enhancing system responsiveness and user interactivity.
  • Engineered backend endpoints to compute and persist diverse Wi-Fi performance metrics, ensuring accurate data processing and seamless integration with the database layer.
N

Next Carbon

January 2025 - July 2025
Project Intern
  • Contributed to the end-to-end design of system architecture from scratch.
  • Implemented real-time communication using Supabase Channels during the Buy/Sell Process of projects.
  • Contributed to the development of backend services and API infrastructure for the entire platform, following REST principles and ensuring scalability, maintainability, and performance.

Skills

React
Next.js
Typescript
Node.js
Express JS
PostgreSQL
Mongo DB
Docker
Git
CI/CD
AWS
GCP
Java
Springboot
Python
LangChain
ChromaDB
Hugging Face
Click
WebSockets
TailwindCSS
Shadcn UI
Better Auth
Clerk
Bun
Prisma
FastAPI
LangGraph
OpenRouter
Crew AI
Vercel AI SDK
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

PRism

PRism

Built PRism, a full-stack GitHub pull request review agent: submit a PR URL, fetch metadata and unified diff, and run a LangGraph workflow for security, correctness, and maintainability feedback. Shipped a FastAPI service that parses diffs into per-file hunks, calls OpenRouter via LangChain, and posts the generated Markdown review back to the PR as a comment. Delivered a Next.js dashboard with Better Auth and Prisma on PostgreSQL for accounts and review history, plus a responsive Tailwind & Shadcn UI with streamed Markdown results.

FastAPI
LangGraph
LangChain
OpenRouter
TypeScript
Next.js
Better Auth
Prisma
PostgreSQL
Tailwind CSS
Shadcn UI
CLI-Based RAG

CLI-Based RAG

Built a command-line RAG tool to ingest local files or folders (PDF, TXT, and more) and ask natural-language questions against that corpus in a REPL-style session. Implemented chunking with overlap, embeddings via sentence-transformers, and persisted retrieval in ChromaDB; top-k context is injected through LangChain dynamic_prompt middleware wired to a small agent for streaming answers. Integrated Unstructured for document loading and a Hugging Face–hosted Gemma chat model, with a Click-based CLI and local vector-store persistence for repeat queries.

Python
LangChain
ChromaDB
Hugging Face
Click
Unstructured
Sentence Transformers
DSA Tutor

DSA Tutor

Built DSA Helper, a full-stack Next.js App Router chat app that streams replies through OpenRouter and the Vercel AI SDK, with Prisma on PostgreSQL for users, sessions, and conversation/message history. Integrated Better Auth (email/password and optional GitHub OAuth) and LangChain-powered RAG over in-repo algorithm study notes, plus a LeetCode problem tool so answers stay grounded in structured context. Shipped a streaming chat UI with AI-generated conversation titles, versioned system prompts, and a Tailwind CSS front end on React 19.

Next.js
TypeScript
React
Vercel AI SDK
OpenRouter
Better Auth
Prisma
PostgreSQL
LangChain
Tailwind CSS
Quizly

Quizly

Built a real-time quiz platform for live interactive sessions—hosts create quizzes, participants join via code, responses flow in live. Implemented multiple question types (MCQs, polls, word clouds), timed questions, and rich analytics with WebSockets for sub-50ms response times. Designed responsive UI with Tailwind CSS & Shadcn UI; auth via Clerk, backend on Express + Bun, PostgreSQL for persistence.

React
TypeScript
Express
Clerk
PostgreSQL
Bun
WebSockets
TailwindCSS
Shadcn UI
Contest Tracker

Contest Tracker

Developed a full-stack Next.js app with TypeScript & MongoDB, centralizing Codeforces, LeetCode & CodeChef contests with real-time updates. Designed a responsive UI using Tailwind CSS & Shadcn UI for seamless multi-device support. Added platform filtering, contest bookmarking, YouTube solutions, & theme switching.

Next.js
Typescript
TailwindCSS
Shadcn UI
PennyWise

PennyWise

Integrated with the Gemini API, it provides advanced expense tracking, predictive analysis, and comprehensive financial insights. Implementation of sophisticated expense categorization and machine learning-powered prediction algorithms offering users actionable financial recommendations. Empowering users with deep, data-driven insights into their spending habits and financial health.

Typescript
Mongo DB
TailwindCSS
Shadcn UI
React JS
Express
Node JS
Contact

Get in Touch

Want to chat? Just shoot me a dm with a direct question on twitter and I'll respond whenever I can. I will ignore all soliciting.