Building Intelligent
Systems at Scale
Full-Stack Engineer specializing in High-Performance Pipelines, Applied AI, and Microservices.
01. About Me
I am a Full Stack Engineer who enjoys breaking down complex problems into simple, scalable solutions. My journey started with Java logic puzzles, but I quickly realized that building systems that live on the internet was far more exciting.
Currently, I focus on the intersection of Application Development and AI Engineering. Whether it's optimizing a React frontend for milliseconds of latency or designing a RAG pipeline for financial data, I optimize for systems that are observable, testable, and boring to operate.
Engineering
Clean, maintainable, and strictly typed code.
Performance
Optimized for speed, SEO, and scalability.
Deployment
CI/CD pipelines and containerized environments.
Experience
MIDAS: Multimodal Digital Media Analysis Lab, IIIT-Delhi
Software Engineer Intern
- Engineered a full-stack grievance management dashboard supporting city-scale complaint intake and resolution workflows.
- Built a modular React + Tailwind frontend with reusable table, filter, and export components.
- Implemented advanced data tables with sorting, filtering, and CSV exports for operations teams.
- Integrated REST APIs for role-based rendering across admins and field officers.
- Worked in a real production environment with active users and iterative feature rollouts.
ACM Manipal
Management Committee Member
- Drove technical initiatives and coordinated development-focused events and workshops.
- Mentored junior members in frontend fundamentals and project structuring.
- Helped execute technical sessions attended by 100+ students.
ISTE Manipal
TechTatva Organising Committee Member
- Co-developed a story-based interactive adventure game with a 6-member development team.
- Implemented frontend flows supporting branching narratives and session continuity.
- Deployed the application live during the fest, handling 500+ participant interactions.
- Worked under strict event-day deadlines to ensure a stable on-ground experience.
RUGVED Systems
Taskphase Member (AI)
- Worked on supervised regression models for structured datasets.
- Built Python-based data pipelines and experimented with model evaluation.
- Implemented OpenCV preprocessing for visual data experiments.
RoboManipal
Taskphase Member (AI & Robotics)
- Contributed to robotics software modules using Python.
- Assisted with sensor data handling and hardware–software integration.
Technical Architecture
I don't just write code; I design systems. Here represents the toolkit I use to build scalable, production-ready applications.
Frontend Ecosystem
Responsive, type-safe interfaces.
React 18
JavaScript
HTML5
CSS3
Tailwind
FramerBackend & API
High-performance async systems.
Node.js
Express
FastAPI
Redis
CeleryData & AI Engineering
Processing pipelines & Inference.
Python
Pandas
NumPy
OpenCV
LangChain
HuggingFace
TensorFlow
PyTorchDevOps & Cloud
Deployment and containerization.
Docker
AWS
MongoDB
PostgreSQL
MySQL
Git
NginxFeatured Deployments
Scalable applications engineered for performance, reliability, and real-world impact.
InsightInvest | AI Financial Analyst Chatbot
A production-grade, microservices-based financial chatbot. Engineered for high availability using asynchronous task queues (Celery/RabbitMQ) to handle heavy RAG workloads without blocking user requests. Delivers real-time sentiment analysis via a FastAPI backend.
Project Drishti | Crowd Analytics
Autonomous situational awareness platform for crowd safety. Transforms unstructured video feeds into actionable data points using YOLOv8, predicts crowd surges via statistical modeling (Scikit-Learn), and visualizes real-time metrics on a Streamlit dashboard.
Traffic Intelligence Hub
IoT & Analytics platform replacing manual traffic logging with Edge AI. Automates vehicle detection using optimized CV pipelines and provides granular insights (peak hours, vehicle composition) via a MERN stack dashboard with Chart.js visualization.
Bazario
A security-first e-commerce platform built on the MERN stack. Enhances standard retail features (cart, payments) with AES encryption for sensitive data, OTP-based multi-factor authentication, and strict Role-Based Access Control (RBAC) for admin/user separation.
Chrome Dino AI | RL Agent
A custom Reinforcement Learning environment built from scratch using Gymnasium and PyGame. Trains an autonomous agent to master the Chrome Dino game using PPO algorithms from Stable-Baselines3, featuring discrete action spaces and dynamic obstacle tracking.
Hopeless Opus | Interactive Story Adventure Game
A text-based, choice-driven story adventure game developed collaboratively by a 7-member team for TechTatva. Implements branching narratives, persistent player state, and modular story progression. Deployed live during the fest, engaging 500+ participants and handling concurrent gameplay sessions with a full-stack React + Node.js architecture.
Aurora 2025 | ISTE Tech Week Platform
The official centralized platform for ISTE's 'Aurora' Tech Week. A full-stack event management system facilitating registrations for multi-club workshops and CTF challenges. Features include secure team formation logic, real-time event schedules, and seamless payment processing via Razorpay integration, fully containerized with Docker and Nginx for scalable deployment.
Let's Connect
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.
Whether you have a question or just want to say hi, I'll try my best to get back to you!
© 2025 Utkarsh