Full-Stack AI Engineer - Purdue CS Graduate

Adithya Seesanabilu Nagaraj Email: *******@***.***

Portfolio: https://adithya1012.github.io/adithya-portfolio/ Mobile: +1-260-***-**** LinkedIn: https://linkedin.com/in/adithya-sn/ Location: San Jose, CA EDUCATION

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Purdue University United States of America

Master of Science, Computer Science; GPA: 4.0 Aug 2023 - May 2025

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Visvesvaraya Technological University India

Bachelor of Engineering, Information Science; GPA: 3.2 Aug 2015 - Jul 2019 SKILLS

• Programming Languages: Python, TypeScript, C++, Java, SQL, Shell

• Frameworks & Libraries: React, Node, Flask, Django, FastAPI, Spring Boot, Plotly, Dash, NumPy, Pandas, Qt, Next.

• DevOps & Systems: AWS (S3, EC2, EBS, Lambda), Docker, Kubernetes, Terraform, CI/CD, OAuth 2.0, Jenkins, Git, Jira, Kafka, REST, DSA, System Design, Distributed Systems

• Database & AI/ML: SQL, MongoDB, Redis, Dynamo, ML, NLP, LLM, RAG

• AI Tools & Agentic Coding: Claude Code, GitHub Copilot, Cursor, Cline, OpenAI Codex, MCP EXPERIENCE

MEDICAL INFORMATICS ENGINEERING United States of America Development Intern Feb 2025 - Present

• Integrated a RAG pipeline in Ozwell.ai indexing patient data in ChromaDB, targeting a 50% query accuracy gain, and published a custom MCP server on PyPI enabling LLM clients to access NASA APIs and present real time data.LINK

• Contributed to PulseVault a HIPAA-compliant video storage platform, building React components, Fastify REST APIs

(HL7/FHIR-aligned) for resumable uploads and HLS adaptive streaming, with storage via AWS S3/R2.

• Building Pulse an Andoid video editing application using React Native. Implemented a secure end-to-end OAuth 2.0 authentication system with PKCE, JWT token lifecycle, and deep-link based mobile login LINK INTEL CORPORATION India

Full Stack Developer May 2021 - Jul 2023

• Developed a Windows application (.exe) for the Edge Software Hub project as part of a two-engineer team, optimizing efficiency through multithreading, parallel programming, and OOP concepts, which improved application performance.

• Managed DevOps operations for the internal Management Console project, leading the setup and seamless configuration of Cloud Foundry and Jenkins, achieving a 20% reduction in deployment time.

• Implemented an EC2 plugin in Jenkins to spin instances in AWS for Jenkins nodes, reducing infrastructure costs by 30%. Utilized Terraform to create AWS services through Jenkins, enhancing automation and efficiency in the process. METRICSTREAM India

Cloud Software Engineer Aug 2019 - May 2021

• Built RESTful APIs with Java Spring Boot to expose JIRA project and team-performance data from a PostgreSQL database, serving analytics dashboards used by Managers and Directors for data-driven decisions.

• Implemented data-access layers using Spring Data JPA to query and transform daily JIRA data from Postgres, powering dashboards that improved visibility into team metrics and project-tracking efficiency by 40%.

• Designed and automated REST endpoints serving aggregated analytics, reducing manual reporting work by 70% for Managers/Directors presenting to Board members.

PROJECTS

DevAssist AI (LLM, Code Generation) Dec 2024

• Built DevAssist AI, a VS Code extension leveraging multiple LLMs for prompt-based code generation, reducing coding effort by 30%. Designed tools like Read/Write File and Execute Command for real-time editing and debugging.

• Created a chatbot UI for user inputs, enabling seamless interaction with LLMs. Integrated specialized tools like Ask Follow-up Question and List Files, standardizing LLM responses for efficient real-time code editing. Bugs Classification (NLP, Machine Learning, Neural Networks) Apr 2024

• Developed a bug classification system using NLP techniques, integrating TF-IDF with Naive Bayes and Random Forest, achieving 10% higher accuracy than Word2Vec with MLP.

• Utilized pretrained LLMs like BERT, fine-tuned on the bug dataset, resulting in the best accuracy of 88% for bug categorization.

AWARDS

• Received the ‘One Intel and Result Driven’ title for exceptional DevOps contributions. (October 2022)

• Quarterly Innovation award for the Metrics Dashboard project in MetricStream (July 2020)

• Received Best Project Award for developing an AI pair programmer as part of the Deep Learning course (Dec 2024)

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