Software Developer · AI Integration · Backend Systems · Data Analytics

🎓 B.Tech CSE (SRM)  |  💼 2x Engineering Intern

Aspiring Software Developer & AI Engineer with hands-on experience building scalable backend microservices, modern interactive web dashboards, and AI-integrated workflows. Strong foundation in Java 21, Spring Boot, Spring WebFlux, Python, and SQL, coupled with practical exposure to LLMs (Google Gemini 1.5), NLP pipelines, and data analytics.

• 🎓 Education: B.Tech in Computer Science & Engineering @ SRM Institute of Science and Technology (2023 – Present) | CGPA: 9.09 / 10.0
• 💼 Recent Internship: AI Product Development Intern @ 3rd Ain Smart Infotech (Mar 2026 – May 2026)
• 📊 Previous Internship: ML & Full-Stack Intern @ Zilogic Systems (Jun 2025 – Jul 2025)
• ⚡ Core Focus: Building high-concurrency REST APIs, asynchronous pipelines, and AI-native developer tools.

  Programming   :: Java (Java 21), Python, SQL, JavaScript, TypeScript
  Backend       :: Spring Boot 3, Spring WebFlux (WebClient), REST APIs, Flask, FastAPI
  Databases     :: PostgreSQL, MySQL, SQLite, Snowflake
  AI & Data     :: Google Gemini 1.5 LLM, Prompt Engineering, NLP (TF-IDF, Naive Bayes), Pandas, NumPy
  Frontend      :: React, Vite, Glassmorphism UI, HTML5, CSS3, Data Visualization (Recharts/Charts)
  Tools & Cloud :: Git, GitHub, Docker, Oracle Cloud Infrastructure
  Core CS       :: Data Structures & Algorithms, OOP, System Design, SDLC, Agile

Mar 2026 – May 2026 • India

• Contributed to the full AI product lifecycle (design, development, deployment) for customer-facing AI solutions.
• Authored data preprocessing scripts with strict input validation to eliminate pipeline crashes during QA.
• Worked within a cross-functional Agile team translating business requirements into sprint deliverables.

Jun 2025 – Jul 2025 • India

• Built and deployed full-stack web applications using React, Flask, and SQL.
• Designed scalable REST APIs with MySQL and SQLite supporting high-concurrency workloads.
• Optimised backend services through query tuning and caching, reducing API response time by ~30%.
• Gained hands-on experience with Java and Spring Boot.

Automated documentation drift detection system using Spring Boot (Java 21) and Google Gemini 1.5 LLM.

• Asynchronous Pipeline: Built a non-blocking pipeline via Spring WebFlux (WebClient) and PostgreSQL for semantic git diff evaluation against codebase docs.
• Human-in-the-loop Workflow: Generates auditable reports and structured text replacement patches.
• Modern Dashboard: Built a React + Vite dashboard with a dark-mode glassmorphism design system, repository health tracking, and side-by-side markdown diff visualization.

End-to-end NLP data pipeline parsing .log, .csv, and .pcap files to auto-classify bugs by priority (Low to Critical).

• NLP Classification: Implemented tokenization, TF-IDF feature extraction, and Naive Bayes models.
• Backend & Storage: Built high-concurrency Flask REST APIs backed by MySQL.
• Interactive Analytics: Designed a React dashboard with pie, bar, and line charts for bug trend tracking.

Full-stack user management system with complete CRUD operations and end-to-end SDLC ownership.

• Full-Stack Architecture: Developed scalable backend services in Java Spring Boot paired with a responsive React frontend.

• 🥇 Oracle Cloud Infrastructure AI Foundations Associate — Oracle (2025)
• 🟡 Lean Six Sigma Yellow Belt — ANEXAS (2025)
• 📊 IBM Certified Data Analyst — IBM (2024)
• 📈 Microsoft Power BI — Microsoft (2024)
• ❄️ Snowflake SnowPro Core — Snowflake (2024)
• 🎭 President, Theatrical Club: Organised events and competitions for 100+ students.
• 🤝 Peer Mentor: Guided junior students in AI development, system design, and career prep.
• 🤼 Kabaddi College Team Captain: Led the college varsity team.