K R I S H N A   R O H I L L A
MAKING
GOOD
SHIT
SINCE
2022

K R I S H N A   R O H I L L A
HIDING
BAD
SHIT
SINCE
2022

ABOUT ME

SSttaarrtteedd wwiitthh ''HHeelllloo WWoorrlldd''.. NNooww II wwrriittee ccooddee tthhaatt ssuurrvviivveess pprroodduuccttiioonn,, aanndd ccooffffeeee tthhaatt ssuurrvviivveess ddeeppllooyy..

ABOUT ME

From Delhi, I've gone from student projects to shipping real AI systems people use.

Download Resume

WHAT I DO

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BBAACCKKEENNDD
DDAATTAABBAASSEE
DDEEVVOOPPSS
PPRROODDUUCCTT

WHAT I DO

I build responsive interfaces with React.js, Next.js, TypeScript, JavaScript, and Tailwind CSS.

I develop scalable backend systems using Node.js, Express.js, FastAPI, and REST API architecture.

I design and manage data layers with MongoDB, Firebase, SQLite, and SQL for reliable performance.

I handle delivery workflows with Docker, Git, and GitHub for versioning, deployment, and maintenance.

I ship end-to-end MERN & Next.js products, with AI-powered features with Gemini and NLP workflows.

EXPERIENCE

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EXPERIENCE

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HISTORY

Present
Associate LLM Post TraineeTeaching models to reason better
Ethara Ai
2026
AI InternTurning prompts into real workflows
Systools
2025
IOS App Tester (Intern)500+ tests, 40% fewer bugs shipped
Banao Technologies
2024
FullStack and DSA Trainee3 MERN apps, built end to end
AccioJob Training Program
2022-26
B.Tech. in AI and MLCGPA 8.4, where it all started
Vivekananda Institute of Professional Studies - Technical Campus

Publication

Speech Corpus: The Review

AIST 2024 Research Publication

Published Research Paper • Springer

International Conference on AI & Speech Technology

A technical review focused on speech corpus quality, structure, and practical impact on real-world AI language systems.

Highlights practical methods for improving dataset quality and reliability in speech-first AI language pipelines.

DOI: 10.1007/978-3-031-91331-0_6

Read on Springer • DOI: 10.1007/978-3-031-91331-0_6

Publication

InfoBuddy: Optimizing College Query Chatbots

AIP Conference Proceedings 2025

Published Research Paper • AIP Publishing

AIP Conference Proceedings — Vol. 3410

A research study on optimizing college query chatbots using Retrieval-Augmented Generation (RAG) and AI techniques for accurate, context-aware responses.

Demonstrates how RAG pipelines significantly improve answer relevance and reduce hallucinations in domain-specific academic chatbot systems.

ACP Vol. 3410, 020064 • AIP Publishing

Read on AIP Publishing • ACP Vol. 3410, 020064

Skills Matrix

Role Strength Bands

React.jsExpert
React EngineeringCore
Node.js + ExpressAdvanced
Backend APIsStrong
TypeScriptAdvanced
Type SafetyStrong
MongoDBAdvanced
Data ModelingStrong
Testing + SDLCAdvanced
Quality + DeliveryStrong
AI IntegrationsIntermediate
Applied AIGrowing

SELECTED
WORKS

Scroll to explore / 3 artifacts

01

AI & Data Engineering / Intelligence

Text2SQL Studio

A premium AI-powered SQL workspace that transforms natural language into optimized database queries, featuring dynamic schema visualization and multi-database connectivity.

01
02

Web Application / NLP

ParseX
AI Resume Analyzer

Optimize your career path with an AI-driven resume analyzer that scores compatibility with job descriptions and suggests critical improvements.

02
03

Real-time Systems / UI/UX Design

Chatty
Real-time Chat App

A high-performance messaging platform featuring instant delivery, typing indicators, and seamless media sharing across all devices.

03

SELECTED
WORKS

Scroll to explore / 3 artifacts

01

AI & Data Engineering / Intelligence

Text2SQL Studio

Leverages a LangChain RAG pipeline to inject schema context into LLM prompts, ensuring record-breaking accuracy for complex relational queries.

01
02

Web Application / NLP

ParseX
AI Resume Analyzer

The scoring algorithm prioritizes semantic relevance over keyword matching using a custom BERT-based fine-tuned model.

02
03

Real-time Systems / UI/UX Design

Chatty
Real-time Chat App

Implemented a custom binary protocol over WebSockets for media chunks, reducing overhead by 22% compared to Base64.

03

WHAT THEY SAID

KKrriisshhnnaa bbuuiilltt oouurrwweebbssiittee eexxaaccttllyy tthheewwaayy wwee eennvviissiioonneedd iitt

FFaasstt ttuurrnnaarroouunndd,,cclleeaann wwoorrkk,, zzeerroobbaacckk aanndd ffoorrtthh

Divyansh Arora

CEO

Arcforma

KKrriisshhnnaa ddooeessnn''ttjjuusstt ccooddee,, hhee tthhiinnkksslliikkee aa ddeessiiggnneerr

GGiivvee hhiimm aa hhaarrddpprroobblleemm aanndd hhee''llllmmaakkee iitt llooookk eeaassyy

Anil

Senior AI Engineer

Systools

SShhaarrpp wwiitthh tthhee ccooddee,,sshhaarrppeerr wwiitthh tthheeddeettaaiillss tthhaatt mmaatttteerr

HHee ttooookk tthhee bbrriieeffaanndd rraann wwaayy ppaasstteexxppeeccttaattiioonnss

Harsh

Lead Mobile Developer

Banao Technologies

WHAT THEY SAID

Fast turnaround,clean work, zeroback and forth

Krishna built ourwebsite exactly theway we envisioned it

Divyansh Arora

CEO

Arcforma

Give him a hardproblem and he'llmake it look easy

Krishna doesn'tjust code, he thinkslike a designer

Anil

Senior AI Engineer

Systools

He took the briefand ran way pastexpectations

Sharp with the code,sharper with thedetails that matter

Harsh

Lead Mobile Developer

Banao Technologies

Divyansh Arora
Anil
Harsh
MYMOTTO

GOOD CODE
IS CLEAN

From the Backend

MYMOTTO

NOT ALL
CLEAN CODE
IS GOOD

From the Backend