Hi, I'm Vinayak
Backend Engineer focused on distributed systems, real-time infrastructure, and AI systems.
DV

About

I like building backend systems that actually have to work under load — real-time services, distributed systems, and AI pipelines. I like experimenting with LLM-based systems and agent workflows. I’m mainly interested in systems where scale, latency, and reliability aren’t optional.

Work Experience

General Mills
General Mills
Ongoing
D&T Intern
June 2026 - Aug 2026
Upcoming Digital & Technology (D&T) Internship focusing on enterprise backend services and cloud application development.
LFX @ LFDT
LFX @ LFDT
Ongoing
Mentee
Jun 2026 - Nov 2026
Upcoming LFX Mentorship under the Linux Foundation / LF Decentralized Trust to test and integrate the BiniBFT Byzantine Fault Tolerance consensus library for Hyperledger Fabric.
Go
Hyperledger Fabric
Distributed Systems
Consensus Protocols
Pioneer Edtech
Pioneer Edtech
Contractor
Feb 2025 - May 2025
• Architected a parallel LangChain-powered system leveraging multiple models that competitively generate and evaluate content, reducing generation pipeline time by ∼83% (from 1.5 minutes to ∼15 seconds). • Designed an asynchronous, multilingual content generation pipeline with FAISS vector search using Django REST and PostgreSQL, and containerized and deployed the system on AWS EC2 using Docker for scalable, production-ready deployment.
LangChain
Django
PostgreSQL
AWS EC2
Docker
FAISS
VisionX Technologies
VisionX Technologies
Full Stack Intern
Jun 2024 - Aug 2024
• Developed and optimized a Retrieval-Augmented Generation (RAG) model solution using LangChain, improving data retrieval and automating response generation processes, leading to a 30% increase in system efficiency. • Seamlessly integrated the RAG model with WhatsApp, streamlining communication workflows and enhancing user interaction capabilities, supporting over 1,000 daily interactions.
LangChain
RAG
Node.js
Express
WhatsApp API
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.

Archon

Archon

An AI-orchestrated platform designed to automatically analyze product ideas, scale capacity, decompose services, generate database schemas, design API contracts, and perform reliability/security reviews. It features a Live Reviews Dashboard that integrates with GitHub to inspect pull requests, read CI status checks, post review comments, assign reviewers, submit approvals/changes-requested, and merge code.

PostgreSQL
Python
LangGraph
gRPC
Next.js
Gemini
OpenAI SDK
Autonomous Brand Campaign Strategist

Autonomous Brand Campaign Strategist

Built at GDG TSEC Hackathon (Winner 🥇): an autonomous AI-powered brand campaign strategist that converts a high-level brief into a deployment-ready campaign, featuring canvas-based planning, conversational AI sales pitching, video ad generation, anti-campaign differentiation analysis, and one-click multi-platform publishing.

Next.js
TypeScript
Python
LangGraph
PostgreSQL
TailwindCSS
Vertex AI
Hackathons

I like building things

During my time in university, I attended 20+ hackathons. People from around the country would come together and build incredible things in 2-3 days. It was eye-opening to see the endless possibilities brought to life by a group of motivated and passionate individuals.

Hacksync

Hacksync

Winner 🥇

Built an autonomous AI-powered brand campaign strategist that converts a high-level brief into a deployment-ready campaign — with canvas-based planning, conversational AI sales pitching, video ad generation, anti-campaign differentiation analysis, and one-click multi-platform publishing.

TSEC Hacks

TSEC Hacks

2nd Runner Up 🥉

Built a creator funding and revenue-sharing platform using Finternet DVP-protected payments, milestone-based payouts, subscription autopay, dual-layer fraud detection via GST validation and SMS revenue tracking, and direct YouTube revenue integrations.

Codeissance

Codeissance

Runner Up 🥈

Built CityPulse, an agentic AI mobile app that autonomously monitors city data streams and uses RAG to provide real-time commuting insights, event discovery, and dynamic itinerary planning.

Need For Code 4.0

Need For Code 4.0

Winner 🥇

Built a Family Health Management Platform with agent-based appointment scheduling, RAG-powered medical record retrieval, medicine restocking automation, WearOS vitals monitoring, and a conversational health assistant.

Minithon

Minithon

Winner 🥇

Built an AI-powered tourism platform with dynamic itinerary generation, location-based attraction recommendations, real-time event discovery, and integrated booking assistance.

Skills

Go
Python
Typescript
Node.js
Postgres
Docker
Kubernetes
Java
C++
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.

GitHub
LinkedIn