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Utkarsh Deep Srivastava
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Utkarsh Deep
Srivastava
AI Developer · Full-Stack Eng.
Open to work
🎓
B.Tech CSE · 2022–2026
⭐
CGPA 8.60 / 10.0
☁️
Cloud & Automation
📍
Lucknow, India
UDS · 2026
Open to opportunities — B.Tech CSE @ VIT '26

Utkarsh Deep Srivastava

AI Developer & Full-Stack Engineer building intelligent systems at the intersection of LLMs, RAG pipelines and modern web technologies.

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8.6 CGPA / 10
4+ Projects Built
6 Certifications
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UD
🏢
Infosys Springboard AI Developer Intern · 2025
About Me

Turning ideas into intelligent software

I'm a final-year Computer Science student at VIT with a focus on Cloud Computing & Automation. I love building AI-powered applications — from RAG document assistants to computer vision tools — and shipping them as clean, performant web experiences.

My sweet spot is at the boundary of LLM engineering and full-stack development, where I use tools like LangChain, ChromaDB, and React to build products that actually think.

AI / ML RAG Pipelines LangChain MERN Stack AWS Python Prompt Engineering
Education

B.Tech — Computer Science & Engineering

Vellore Institute of Technology (VIT) · 2022 – 2026

Specialisation: Cloud Computing & Automation   CGPA: 8.60 / 10.0

Technical Arsenal

Skills & Technologies

🧠

AI & LLM Engineering

LangChainRAG Pipelines Prompt EngineeringChromaDB HuggingFaceGroq API EmbeddingsRAGAS Metrics
🌐

Full-Stack Development

React.jsNode.js Express.jsMongoDB REST APIsJWT Auth HTML5CSS3
🐍

Languages

PythonJavaScript SQLStreamlit
☁️

Cloud & DevOps

AWSOracle Cloud Git & GitHubDocker CI/CD
👁️

Computer Vision

OpenCVMediaPipe AnimeGAN2PyCaw
🗄️

Databases

MongoDBPostgreSQL MySQLChromaDB
What I Offer

Services I Provide

01

AI & LLM Application Development

End-to-end AI apps using RAG pipelines, LangChain, and Groq LLaMA — from document Q&A assistants to intelligent chatbots with hallucination guardrails.

02

Full-Stack Web Development

Responsive, production-grade MERN stack applications with RESTful APIs, JWT authentication, and CI/CD pipelines for seamless cross-browser deployment.

03

Computer Vision & ML Solutions

Real-time computer vision systems using OpenCV and MediaPipe — gesture recognition, image stylisation, and AI-powered visual tools with sub-50ms latency.

04

Cloud Architecture & Deployment

AWS-certified architecture design, containerised deployments, and environment configuration for scalable, production-ready applications.

05

AI Quality Monitoring & Evaluation

Implementing RAGAS evaluation frameworks, hallucination guardrails, structured outputs, and AI quality monitoring systems for reliable LLM responses.

Featured Work

Projects I've Built

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🧠
RAG · LLM · AI
FeaturedApril 2026

DocuMind — AI Document Q&A Assistant

End-to-end RAG application that lets users upload any PDF and query it in natural language, returning grounded answers with source citations, page references, and real-time RAGAS quality metrics (faithfulness, answer relevancy, context precision).

PythonLangChain ChromaDBGroq LLaMA 3 HuggingFaceStreamlitRAGAS
View Project
🐾
2025

Animal Welfare Platform

Full-stack NGO website with dynamic pet adoption listings, secure donation portal, and JWT-authenticated admin dashboard. CI/CD pipeline for cross-browser consistency.

ReactNode.js Express.jsMongoDBJWT
View Project
✋
2024

Real-Time Volume Controller

Python app controlling system volume via webcam hand gestures — sub-50ms latency, 94% recognition accuracy across varied lighting conditions using finger-distance ratio mapping.

PythonOpenCV MediaPipePyCaw
View Project
🎨
Infosys Internship

AI Image Stylisation App

Converts photos to cartoon, sketch, and pencil-colour styles using AnimeGAN2. Integrated Razorpay for in-app payments. Model weight caching cut processing time by ~35%.

PythonStreamlit OpenCVAnimeGAN2Razorpay API
View Project
Background

Experience & Certifications

Professional Experience

Sept – Nov 2025 · Remote
AI Developer Intern
Infosys Springboard — Virtual Internship 6.0
Built AI image transformation app (cartoon/sketch/pencil-colour) using Python, OpenCV, AnimeGAN2 and Razorpay API. Designed full Streamlit user flow. Reduced inference time by ~35% via model weight caching.
2022 – 2026 · India
B.Tech Student — CSE (Cloud & Automation)
Vellore Institute of Technology
Maintaining a CGPA of 8.60/10 while building multiple production-grade AI and full-stack projects. Active in tech communities and hackathons.

Certifications

☁️
Cloud Infrastructure Foundations Associate
Oracle
2025
🛠️
MERN Full-Stack Development
Ethnus
2025
🏗️
AWS Solutions Architect — Associate
Ethnus
2025
🗄️
Database Management Systems
Infosys Springboard
2025
🌿
Introduction to NoSQL Databases
Infosys Springboard
2025
🤖
AI, ML & Deep Learning — 10-Day Training
Ed Gate
2024
Writing

Thoughts & Insights

📄
AI / LLMApr 2026

Building a RAG Pipeline That Actually Works: Lessons from DocuMind

The chunking strategy, overlap configuration, and hallucination guardrails that made DocuMind reliable in production.

Read More
🎨
Computer VisionNov 2025

AnimeGAN2 in Production: Cutting Inference Time by 35% with Weight Caching

How I optimised the model loading pipeline at Infosys and the architecture decisions that made the biggest difference.

Read More
✋
ML / OpenCVDec 2024

94% Gesture Accuracy with MediaPipe: The Math Behind Finger-Distance Ratios

A deep dive into the landmark normalisation and distance ratio mapping that powers the volume controller.

Read More
Get In Touch

Let's Work Together

Available for internships, freelance projects & full-time roles

I'm actively looking for opportunities where I can apply my AI engineering and full-stack skills. Whether it's a startup needing an LLM app or a team looking for a versatile developer — let's talk.

Email
srivastavautkarshdeep@gmail.com
Phone
+91 96280 31210
GitHub
github.com/Utkarsh-deep-ud
LinkedIn
linkedin.com/in/utkarsh-deep-srivastava
Location
Lucknow, Uttar Pradesh, India