About Me

Hello! I am a final-year Computer Science Engineering student at Vellore Institute of Technology, Chennai, where I maintain a CGPA of 9.47. My academic journey has been driven by a deep curiosity for how complex systems operate under the hood, culminating in an All India Rank of 593 in the highly competitive GATE CS examination. As a proud Vahani Scholar, I am committed to leveraging my education to create a meaningful technological impact.

My professional experience spans hands-on engineering roles at industry-leading organizations. During my internships at J.P. Morgan Chase & Co. and the Samsung Research Institute, I thrived in fast-paced Agile environments. I tackled intricate engineering challenges, contributed to scalable backend architectures, and discovered a profound passion for integrating Artificial Intelligence and Machine Learning into practical, real-world applications.

Beyond the classroom and the office, I am an avid problem solver with a strong foundation in competitive programming. I am constantly exploring the latest frontiers of full-stack development and AI/ML technologies. Whether I'm architecting a robust database system or deploying a machine learning model, I approach every project with meticulous attention to detail and a relentless drive for innovation.

Achievements & Profiles

Coding Profiles

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LeetCode Knight (1869)
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CodeChef 4* (1813)
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GeeksforGeeks 569 Solved

Honors & Awards

  • Vahani Scholarship

    Top 1.7% selected across India

  • J.P. Morgan Chase Code for Good

    Top 500 of 50,000+ applicants (2025)

  • GATE CS

    All India Rank: 593

Experience

Software Engineer Program (SEP) Intern

J.P. Morgan Chase & Co. May 2026 - July 2026 | Bengaluru, IN
  • Extended an enterprise application using Java, Spring Boot, SQL, and React by migrating legacy account management workflows.
  • Worked in an Agile SDLC, utilizing Jenkins CI/CD pipelines, unit/integration testing, ensuring high code quality.
  • Built an internal documentation generation tool leveraging MCP and LLMs to parse Bitbucket repos and Confluence spaces.

Prism Research Intern

Samsung Research Institute Sep 2025 - Mar 2026 | Remote, IN
  • Deployed containerized microservices using Spring Boot, Spring WebFlux, Docker, and Kubernetes.
  • Designed and executed load tests using K6; analyzed latency/throughput via Grafana.
  • Developed an XGBoost-based recommendation system and Streamlit app to optimize backend framework selection based on workload characteristics.

Featured Projects

QueryDocs AI

A hybrid Retrieval-Augmented Generation (RAG) assistant providing source-grounded QA over enterprise PDF documents. It features an end-to-end pipeline with semantic chunking, ChromaDB vector storage, and integrates Ollama (Llama2) via Streamlit for explainable responses.

EduSphere

An interactive educational platform built with modern web technologies, designed to enhance the learning experience. It utilizes a scalable architecture for seamless user management and content delivery with an intuitive interface focusing on accessibility and engagement.

CHAT-APP

A real-time messaging application enabling seamless user communication with instant updates and persistent chat history. The system relies on WebSockets for low-latency real-time communication and includes secure user authentication and message storage mechanisms.

Vision-AI

An advanced computer vision application utilizing machine learning models for real-time image processing and object detection. It features a high-performance inference pipeline for video streams and custom-trained models optimized for accuracy and speed.

Legal-analyser

An intelligent AI tool designed to parse, analyze, and extract key insights from complex legal documents and contracts. It provides automated clause extraction and risk assessment using NLP algorithms within a modern dashboard built for legal professionals.

ReadNext

A content-based book recommendation system processing 10,000+ summaries to generate personalized suggestions. Built using NLP techniques like TF-IDF and cosine similarity, it is deployed as an interactive Streamlit web app featuring multiple discovery modes.

Let's Connect

My Address

Sira, Karnataka, India

Phone

+91 7022353911

Email

likhithba2005@gmail.com

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