Ankit Kumar
Available

Ankit Kumar

Full Stack Engineer • AI Backend • LLM & Agentic Systems

Building full-stack applications and intelligent AI systems - from scalable backend architectures to RAG pipelines and agentic workflows.

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+91 7409858971

My Stack

TypeScript
JavaScript
Python
C++
React
Next.js
Node.js
Express
FastAPI
MongoDB
PostgreSQL
MySQL
Prisma
Tailwind CSS
Socket.IO
WebSockets
SpringBoot
kafaka
TypeScript
JavaScript
Python
C++
React
Next.js
Node.js
Express
FastAPI
MongoDB
PostgreSQL
MySQL
Prisma
Tailwind CSS
Socket.IO
WebSockets
SpringBoot
kafaka
Microservices
gRPC
LangChain
LangGraph
Pinecone
FAISS
LLaMA
Mistral
Hugging Face
Ollama
Mixtral
PyTorch
OpenCV
Docker
AWS
Redis
Vercel
Microservices
gRPC
LangChain
LangGraph
Pinecone
FAISS
LLaMA
Mistral
Hugging Face
Ollama
Mixtral
PyTorch
OpenCV
Docker
AWS
Redis
Vercel

Experience

1 positions listed chronologically.

Voat NetworksSoftware Engineering Intern(Backend/Full Stack)
June 2025 – Sep 2025
  • Engineered a secure authentication pipeline for the platform using Node.js and MySQL, implementing strict cryptographic hashing and session validation to safeguard user credentials and reduce unauthorized access vulnerabilities by 40%.
  • Architected an event-driven backend utilizing MongoDB and high-performance gRPC communication protocols to efficiently handle high-throughput traffic and complex concurrent requests for real-time digital wallet transactions.
  • Designed the cloud deployment architecture on DigitalOcean Linux servers, configuring NGINX as a reverse proxy and integrating AWS S3 for scalable storage, slashing overall API latency by 40% and ensuring 99.9% uptime.

Featured Projects

2 projects

Showing 2 featured projects. Click on any project card to view details.

MyCFAnalytic screenshot

Codeforces Analytics Simplified

MyCFAnalytic

→

A comprehensive analytics dashboard for Codeforces profiles, providing deep visual insights into rating trends, problem-solving habits, and performance metrics.

Next.jsReactTailwind CSSCodeforces API+1
NexusAI screenshot

AI Orchestration Platform

NexusAI

→

A production-grade AI orchestration platform that transforms complex tasks into autonomous, multi-agent workflows, featuring real-time execution streaming and secure human-in-the-loop safeguards.[cite: 1]

ReactFastAPIMongoDBRabbitMQ+3

Competitive Programming

I actively participate in competitive programming, consistently solving complex algorithmic challenges. It sharpens my problem-solving skills and helps me write highly optimized and efficient code for real-world applications.

CodeforcesCandidate Master
CodeChef5*
LeetCodeGuardian

Education

Chhatrapati Shahu Ji Maharaj University, Kanpur

Bachelor of Technology in Computer Science • 2023 – 2027

Relevant: DSA, OS, System Design, DBMS, CN, Graph Algorithms , Probability & Statistics, Machine Learning,

Technical Skills

7 skill categories with 65 individual skills listed.

Languages

C++JavaScript/TypeScriptPythonJavaMySQLGo

Frontend

Next.jsReactTailwind CSSShadCN UIRadix UIFramer MotionHTML5CSS3

Backend

Node.jsExpress.jsFastAPIREST APIsGraphQLgRPCFiberCMakePrismaMongooseNextAuthZodSocket.IOWebSocketsAuthentication (JWT, OAuth)API Design

AI / Agentic Systems

LangChainLangGraphRAG (Retrieval Augmented Generation)Vector Databases (Pinecone, FAISS)EmbeddingsPrompt EngineeringAgents (ReAct, Plan & Execute)Tool CallingHugging Face (Transformers, Pipelines)Open Source LLMs (LLaMA, Mistral, Mixtral)Model Serving (Ollama, HF Inference API)PyTorchOpenCVYOLOGemini API / OpenAI API

Database

MongoDBMySQLPostgreSQLRedis (Caching)RabbitMQVectorDB

DevOps & Cloud

DockerAWS (EC2, S3)VercelRenderCI/CD PipelinesNginx (Basics)DigitalOceanLinux

Core Concepts

Data Structures & AlgorithmsCompetitive ProgrammingOOPSSystem Design (LLD, HLD)Concurrency & Async ProgrammingType Safety

Currently Exploring

Agentic AI Systems

Designing autonomous agents using LangGraph with planning, tool calling, and multi-step reasoning

RAG & Retrieval Systems

Building pipelines with embeddings, vector databases, and semantic search for context-aware AI

LLM Pipelines

Developing structured workflows for transforming natural language into actionable outputs and APIs

Scalable Backend Architecture

Designing modular backend systems with async processing, caching, and high concurrency handling

AI + Backend Integration

Combining LLMs with production systems using FastAPI, Node.js, and real-time APIs

Real-time & Event-driven Systems

Building low-latency systems using WebSockets and event-driven architectures