About me
Software Developer skilled in Java, Python, and Spring Boot, with experience in full-stack development, SDLC, and debugging. Recognized for hackathon wins, government-selected and funded AI initiatives, and delivery of scalable, cloud-deployed applications with clean code and agile practices.
Resume
My Education
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PPG Institute of Technology
2022 — 2025B.E Computer Science and Engineering CGPA: 8.23
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Nanjiah Lingammal Polytechnic College
2018 — 2021Diploma in Mechanical Engineering Percentage: 87.4
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Sri KRN HR Secondary School
2012 — 2018SSLC Percenatge: 80.6
My Experience
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Guvi Geeks Network - Campus Ambassador
July 2024 — May 2025Initiating and introducing new activities and volunteer service in institute premise.
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Guvi Geeks Network - Developer Intern
July 2024 — October 2024- • Built full-stack features for an internal app using Java, HTML/CSS/JS, and Webpack.
- • Structured data across MySQL (auth) and MongoDB (user data) with Redis caching to cut repeat reads.
- • Improved API responsiveness by resolving integration bottlenecks and tightening query patterns.
- • Stabilized builds by customizing Webpack and eliminating bundle/runtime errors.
- • Worked in daily stand-ups for issue triage, peer reviews, and clear progress updates.
- • Joined production deployment walkthroughs and documented environment readiness steps.
Tech Stack
- • Java, HTML, CSS, JavaScript, Webpack
- • MySQL, MongoDB, Redis
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GAO Tek - AI Support Engineer
Feb 2024 — May 2024- •Automated documentation workflows using generative AI tools to reduce manual editing time.
- •Created structured technical content for WordPress support portals.
- •Collaborated with international teams in daily virtual meetings for task updates and alignment.
- •Streamlined repetitive content updates, improving turnaround time for publishing by over 30%.
Tech Stack
- •WordPress, Generative AI Tools, Documentation Frameworks
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L&T Automation - SAP ERP Apprentice
Aug 2021 — Aug 2022- • Managed stock creation, production tracking, and inventory control using SAP ERP.
- • Gained deep understanding of process chains and corporate hierarchy in manufacturing workflows.
- • Ensured data accuracy in production stock entries and reports.
- • Learned to navigate end-to-end process flow from material intake to finished goods delivery.
Tech Stack
- • SAP ERP, MS Office
My skills
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Java
80% -
Python
65% -
Web Technologies ( HTML, CSS, JavaScript, ReactJS, Django, Spring Core, Spring Security, Spring Boot, JDBC, MySQL.)
65% -
Cloud & Tools (Google Cloud Platform, Docker, Jira, Git, GitHub, Postman.)
70% -
AI/ML & Tools (Computer Vision, Hugging Face, RAG, Matplotlib)
65% -
Software development (OOP, Agile, REST API, Version Control, SDLC, Data Structures)
75%
My Project Works
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Product Pulse Github repo
Impact:
- • Developed a living platform for centralized social media sentiment analysis with visual analytics and role-based dashboards.
- • Embedded a RAG chatbot for real-time improvement suggestions, secured with JWT-auth and OTP registration flow.
Tech Stack
- • Spring Boot, React, Python (RAG), Google Cloud Platform
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Puddle (LMS)Github repo
Impact:
- • Designed a dual dashboard LMS for staff and students with course uploads, enrollment tracking, and progress analytics.
- • Integrated Gemini AI chatbot for query resolution and embedded direct staff–student messaging for instant support.
- • Enabled course search and categorization to streamline navigation and improve learner engagement.
- • Built a interface using Tailwind CSS for seamless cross-device access.
Tech Stack
- • Django, Tailwind CSS, SQLite
- • Gemini AI
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Chef Claude AIGithub repo
Impact:
- • Built a cloud-deployed AI application that generates markdown recipes based on user-provided leftover ingredients.
- • Integrated Hugging Face Transformers API for recipe generation and Cloudinary for image storage.
- • Created a responsive interface using React Vite for fast and lightweight rendering.
- • Currently upgrading the AI model to improve recipe accuracy and variety.
Tech Stack
- • React Vite
- • Hugging Face Transformers, Cloudinary
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EIDA Gamified Application
Impact:
- • Developed an AI-powered learning platform for children aged 6–13 with interactive games, object recognition, and voice/text AI chat.
- • Implemented tailored features by age group, including quizzes, multimedia library, and educational games to boost engagement.
- • Integrated TensorFlow + YOLO for real-time object identification, enabling interactive learning experiences.
- • Designed a responsive front-end with React and connected to MongoDB for scalable data storage.
Tech Stack
- • React, MongoDB
- • TensorFlow, YOLO, Computer Vision, Speech-to-Text
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SenseLink Communication Github repo
Impact:
- • Developed an assistive wearable using Raspberry Pi and computer vision to detect objects and relay live audio instructions via TTS for visually impaired users.
- • Established seamless webcam-to-device communication and enabled real-time object detection feedback in wearables.
- • Prepared for future navigation support and enhanced assistance modules to improve mobility and situational awareness.
Tech Stack
- • Raspberry Pi, OpenCV, Computer Vision
- • Text-to-Speech (TTS)
My Certifications
My Best Awards
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PPG Institute of Technology
Best Out Going Student for 2025.
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TNSCST Scheme
Twiceselected statewide under the government; awarded 10K funding for each AI project.
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L&T Apprenticeship
Best Multitasking award for July 2022.
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NGI-TBI Ideathon
1st place among 100 teams; won 10,000 cash prize reward.
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NM-AU-TNCPL Hackathon
Top 20out of 48.7K teams and 478 colleges; awarded a paid internship.
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Niral Thiruvizha - NM
Selected For Goverment project under naan mudhalvan scheme.
