FULL-STACK DEVELOPER

PREMCHAND

Passionate for
Scalable Applications
Problem solving

My focus is on robust backend systems and smooth user experiences, drawing from my project work with microservices, AI, and cloud technologies.

See My Projects
Premchand Geddada - Full-Stack Developer

Technical Skills

[ MY FOCUS ]

Full-stack engineer with experience building AI-powered applications using LLM APIs, RESTful services, and modern web technologies. Passionate about GenAI, system design, and scalable software development. Currently building autonomous AI agent systems with RAG and tool-calling while continuously deepening my expertise in AI engineering.

SYS://EDU

Education

B.Tech, Computer Science

Gayatri Vidyaparishad College of Engineering (A)

2021 - 2025 | CGPA: 7.88

I. Programming Languages

Core programming languages used for systems engineering, web applications, and data pipelines.

Python
TypeScript
SQL
Java
C++

II. AI / GenAI

Engineering intelligent applications with LLM APIs, prompt optimization, RAG, and agentic workflows.

LLM API Integration (Gemini)
Prompt Engineering
RAG Architecture
Tool-Calling & Agents

III. Frameworks

Building performance-optimized web frontends and high-throughput server environments.

React
Next.js
Node.js
Spring Boot

IV. Databases & Cloud

Containerization, cloud infrastructure deployment, and relational database management.

PostgreSQL
Docker
GCP (Cloud Run, Storage)

V. Tools

Version control systems, collaboration workflows, and API testing tools.

Git
GitHub
Postman

Work Experience

SYS://LOG_01
[ ACTIVE ]March 2026 – Present

Tata Consultancy Services (TCS)

Assistant Systems Engineer (ASE)

  • Built a full-stack Hotel Management System (Java, Spring Boot, Angular) applying layered architecture and OOP design patterns; cleared enterprise assessments in Java, Spring Boot, and system design.
JavaSpring BootAngularSystem DesignLayered Architecture
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[ MENTORSHIP ]Feb 2026 – March 2026

MSME Program

Generative AI Workshop Mentor

  • Mentored 30+ participants on LLM fundamentals and prompt engineering, guiding them from zero AI background to shipping working GenAI applications.
Generative AILLMsPrompt EngineeringMentorship
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[ COMPLETED ]11/2024 - 04/2025

HMI Engineering Services

Python Developer Intern

  • Developed HMI dashboards using FastAPI, React, and PostgreSQL.
  • Engineered and integrated REST APIs for real-time data management.
FastAPIReactPostgreSQLREST APIs
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[ CLIENT WORK ]Vizag

Fitness Edge Gym

Frontend Developer (Freelance)

  • Built responsive landing page with Next.js & Tailwind CSS.
  • Increased lead conversions by 25-30% via optimized UX and CTA funnel.
Next.jsTailwind CSSReactUX Design

Featured Projects

SLIDES GEN
PROJECT_01

[ AI-Powered Presentation Generator ]

SLIDES GEN

A AI powered PPT generation tool inspired by MAGICSLIDES built using Next.js, integrated Gemini for user interaction and pptgenxjs for creating incredible Powerpoint presentations <5s response times. The system supports real-time user interaction and presenations creation.

Next.jsGEMINI-APILLMJSONpptgenxjs
<5s(Response Speed)
PPTX(Stunning Designs)
EventSphere
PROJECT_02

[ Full-Stack Event Platform ]

EventSphere

A production-ready event management platform built with a modern stack. The backend, architected with NestJS and PostgreSQL, was optimized to achieve <200ms API response times. The system supports real-time chat via Socket.IO and handles secure payments with Stripe.

Next.jsNestJSPostgreSQLSocket.IOStripe API
<200ms RT(API Speed)
Users(Capacity)
Haptic Video Generator
PROJECT_03

[ AI/ML Microservices ]

Haptic Video Generator

A cloud-native platform that processes large video files to generate AI-powered haptic feedback. Using a microservice architecture with FastAPI for the ML pipeline, the system achieved an impressive 85% accuracy in haptic pattern generation from audio.

Next.jsNestJSFastAPIGCPDocker
85% Accuracy(ML)
89.9% Uptime(Resilience)
Fitness Edge Landing Page
PROJECT_04

[ Freelance Client Project ]

Fitness Edge Landing Page

Designed and deployed a responsive, high-conversion landing page for a local gym. Focused the UX and CTA funnel to help drive a 25-30% increase in lead conversions compared to the original homepage.

Next.jsTailwind CSSReactJavaScript
25% Lead Conversion(LEADS)
User Friendly UI(UI)
Job Hunt Navigator
PROJECT_05

[ Chrome Extension ]

Job Hunt Navigator

A browser tool to automate job application tracking. The core feature is a DOM scraping engine built with the Chrome.debugger API, which reached 95% accuracy on Indeed job listings. User data is synced in real-time across devices using Firebase Firestore.

ReactTypeScriptChrome APIFirebase
95% Accuracy(Scraping)
Optimistic UI(Sync)