AI Engineer · Open to opportunities

Parasa Deepak Kumar

Final-year B.Tech CSE (AIML) student engineering production-grade LLM, RAG, and agentic AI systems.

5+
AI Projects Built
20+
Technologies
10+
GitHub Repos
8
Hackathons
LLM
RAG
Agents
MCP
Memory
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01 · About

An engineer focused on production AI.

Parasa Deepak Kumar
live

I'm a final-year B.Tech CSE (AIML) student building real-world AI products — from retrieval-augmented systems and agents to ML services that ship. My focus: combining strong software engineering with modern AI tooling to build systems that are accurate, evaluable, and reliable.

Based in
India
Education
B.Tech CSE (AIML), Final Year
Focus
LLM · RAG · Agentic AI
Currently
Open to AI Engineer roles
Objective

Join an ambitious team building production AI products where I can own LLM pipelines, RAG retrieval quality, agentic workflows, and the surrounding evals & infra.

02 · Stack

Skills command center.

AI / ML
4 modules
Machine Learning
Deep Learning
NLP
Transformers
LLM Engineering
3 modules
Prompt Engineering
RAG Pipeline
LLM Applications
RAG Systems
4 modules
Chunking
Vector Search
Retrieval
Citations
Agentic AI
4 modules
Tool Calling
AI Agents
Multi-Agent
LangChain and LangGraph
AI Data Layer
5 modules
Vector Databases
Embeddings
ChromaDB
Semantic Search
Document Indexing
Backend
5 modules
Java
Spring Boot
REST APIs
SQL
FastAPI
Frontend
3 modules
React
TypeScript
Tailwind
Languages
4 modules
Python
Java
SQL
TypeScript
Tooling
3 modules
Git
GitHub
Docker
03 · Work

Featured projects.

PROJECT_01

Intelligent Loan Approval System

End-to-end machine learning system that predicts loan approval eligibility using applicant financial and demographic information.

Application DataData PreprocessingFeature EngineeringRandom Forest ModelLoan Approval Prediction
Python
scikit-learn
Pandas
Numpy
Random Forest
+2
PROJECT_02

AI App Compiler

Multi-stage AI system that transforms natural language requirements into validated application architectures, database schemas, API specifications, and UI definitions.

PROMPTINTENTARCHITECTURESCHEMA GENVALIDATIONEXECUTION SIM
JavaScript
OpenRouter
Vercel
REST APIs
JSON Validation
+1
PROJECT_03

Lumora – AI Research Assistant

AI-powered research platform that enables users to chat with documents, generate reports, and extract insights using Retrieval-Augmented Generation (RAG).

UserLUMORA UIFASTAPIRAG PIPELINEVECTOR STORELLMAI RESPONSE
Python
LangChain
TypeScript
Vector Database
FastAPI
+4
PROJECT_04

Traffic Demand Prediction System

Machine learning system that predicts normalized traffic demand using geospatial, temporal, road infrastructure, and environmental features.

RAW DATAPREPROCESSINGFEATURE ENGINEERINGCATBOOST MODELVALIDATIONPREDICTION
Python
Pandas
NumPy
ScikIt-Learn
CatBoost
+2
04 · Systems

RAG data flow, visualized.

A reference architecture for the production RAG assistant — every node animates as data flows through the pipeline.

User Query
Retriever
Vector DB
Reranker
LLM
Cited Answer
module
Document Processing
PDF ingestion, chunking, metadata extraction
module
Semantic Retrieval
Embedding search and context selection
module
Citation-Based Answers
Responses generated using retrieved sources
05 · Signals

GitHub command center.

contributions · last 12 months
1,240+ commits
Open GitHub
Top language
56%
Python
Secondary
22%
TypeScript
Backend
14%
Java
06 · Contact

Let's build something real.

Available for AI Engineer roles & collaborations.

The fastest way to reach me is email — I usually reply within a day.

Resume
© 2026 Parasa Deepak Kumar · Built with intent.
v1.0 · system online