SOFTWARE ENGINEER · FULL-STACK · APPLIED AI

Parth
Srivastava.

I build products that connect systems and intelligence.

NIRMA UNIVERSITY · B.E. COMPUTER SCIENCE & ENGINEERING · 2023–2027
01 / ABOUT

Curious by
nature.

I build useful software across products, backend systems, and applied AI.

I'm Parth, a Computer Science student at Nirma University, graduating in 2027, with a minor in Adaptive AI.

I enjoy building beyond prototypes, combining software engineering and AI to solve real problems. I've interned at Accenture and HCL GUVI, and built projects in employee intelligence, traffic management, and voice deepfake detection.

With my teammates, I was 1st runner-up at Breach 2026, won 1st place at Aetrix 2026, and placed 6th in the student category at the HCL GUVI Buildathon. I also represented my district in U-16 football.

I love exploring AI tools and models, experimenting with local inference, and understanding how models and full systems work under the hood.

Always curious. Always building. Always learning.

GitHub LinkedIn
02 / EXPERIENCE
2027

Computer Science & Engineering

Nirma University · Gujarat, India

Minor in Adaptive AI
02 MAR — 30 APR 2026 2 MONTHS

AI Content & Learning Quality Intern

HCL GUVI

Created videos with NotebookLM and HeyGen, validated learning content, audited courses, and contributed to course review meetings.
NOTEBOOKLMHEYGENCONTENT QACOURSE AUDIT
18 MAY — 10 JULY 2026 8 WEEKS
accenture

Software Engineering Intern

Accenture Solutions Pvt. Ltd.

Built the backend for an AI-assisted Pull Request review system.
FASTAPICELERYREDISPYTHON ASTGIT
VIEW INTERNSHIP DETAILS
03 / TOOLKIT

Tools I reach for.

Technologies I use to build, ship, and learn.

LANGUAGES · SYSTEMS · AI
01
LANGUAGES

JavaScript · Python · C++ · Java · SQL

02
FRONTEND & FULL-STACK

React · Next.js · Tailwind CSS · shadcn/ui

03
BACKEND & APIS

Node.js · Express.js · FastAPI · REST · JWT

04
DATA & INFRASTRUCTURE

PostgreSQL · MongoDB · Redis · Docker · AWS · Git · CI/CD

05
CLOUD & PLATFORMS

Render · Vercel · Neon · Supabase

06
AI & MACHINE LEARNING

LLMs · RAG · Embeddings · Vector search · Transformers · PyTorch · LangChain

07
AI TOOLS & AGENTIC WORKFLOWS

Claude · Codex · Antigravity · Cursor · Warp · Emergent · n8n

04 / SELECTED WORK

Selected work.

A few products and systems I've worked on.

01 — EMPLOYEE INTELLIGENCE / RAG

Sahay

GitHub LIVE

An HR assistant that finds useful context across workplace tools.

RAGEmbeddingsVector searchLLMs
SAHAY / CONTEXT FLOWILLUSTRATIVE
#Slacksource 01
▦Calendarsource 02
◎Peoplesource 03
◷Meetingssource 04
01INGESTNormalize events
02RETRIEVESemantic + filters
03RESPONDGrounded context
CONTEXT WINDOWPS
grounded summary
PERMISSIONS FILTEREDNO LIVE DATA · DEMO CONCEPT
02 — TRAFFIC INTELLIGENCE / BACKEND

MargDarshak

GitHub LIVE

A traffic co-pilot for comparing routes using congestion signals.

FastAPIPythonREST APIsRouting
MARGDARSHak / ROUTE STUDYILLUSTRATIVE MAP
START / AHD-04
DESTINATION
ROUTE COMPARISON DEMO
Route Alower congestion
18 min
Route Bshorter distance
22 min
FASTAPI / ROUTE COMPUTATIONNO LIVE TRAFFIC DATA
03 — AUDIO INTELLIGENCE / DEEPFAKE DETECTION

Impact

GitHub CASE STUDY

Detects AI-generated speech across five languages with WavLM.

PythonPyTorchWavLMFastAPILibrosa
IMPACT / AUDIO AUTHENTICITYMODEL ANALYSIS
WAVLM · MULTILINGUALEN / HI / ES / FR / DE
CLASSIFICATIONLIKELY AUTHENTIC
94%
CONFIDENCE CALIBRATEDUNCERTAINTY CHECKED
VOICE SIGNAL / 16 KHZ MONOILLUSTRATIVE MODEL OUTPUT
05 / OPEN CHANNEL AVAILABLE FOR GOOD CONVERSATIONS

Have a problem
worth building?

Tell me what you're figuring out.
I'm always up for talking systems, products, and ideas.