Agentic AI, AI/ML Engineering, GenAI, Full-Stack Development, and Software Engineering roles
I am currently a Software Development Engineer Intern at Amazon, developing Rufus’ agentic AI infrastructure through a Python-based content generation platform using Amazon Strands SDK, MCP tool integration, and AWS Lambda workflows. Previously, I spearheaded full-stack GenAI applications through Deloitte's Agentic AI Global Incubator and co-led R&D innovation work with multi-agent systems. I am pursuing my MSCS at Northeastern and seeking Fall 2026 Co-ops/Internships in AI/ML, Agentic AI, GenAI, and full-stack software engineering.
Building the future with Generative AI and Full-Stack Engineering
Innovative solutions in AI/ML, Full-Stack Development, and Research
IEEE Research Paper (document number 9972172) – Presented in the 3rd Global Conference for Advancement in Technology (GCAT). Web based application to enable users to share data files between devices using sound, with advanced efficiency and security of peer-to-peer file sharing. Developed using C++, Python and Golang.
A full-stack Generative AI application leveraging multiple AI Agents built using the LangGraph Agentic AI Framework. The backend, powered by Flask, integrates LangChain and RAG for intelligent reasoning and contextual retrieval. The system utilizes Vector Databases, Gemini LLM and Guardrails for high-performance, privacy-safe AI automation. The ReactJS frontend delivers an intuitive, responsive interface for insights.
A social media automation platform built on the CrewAI Agentic AI framework, where multiple AI Agents collaborate to research trends, recommend niche topics, customize social posts, analyze performance, and suggest optimizations in real time. Leveraging RAG for contextual grounding and personalized content creation. Built with Next.js (frontend), Node.js API routes (backend), and Tailwind CSS for a responsive UI.
A full-stack Next.js tech news and discussion platform inspired by Y Combinator’s Hacker News, featuring hybrid search with Algolia and MongoDB, role-based authentication, story and comment threading, likes, bookmarks, reporting, and a full admin moderation dashboard. The platform enables real-time networking, project showcasing, and job postings for employers. It supports dynamic content rendering and API-powered real-time search, with Tailwind CSS for a responsive modern UI and a Node.js + MongoDB backend for secure, scalable data management.
Developed a feature-rich Java calendar application using strict Model–View–Controller (MVC) architecture and core SOLID principles (Single Responsibility, Open–Closed, Liskov Substitution, Interface Segregation, Dependency Inversion). Cleanly separated UI, control flow, and domain logic while supporting Swing GUI and command-line modes. Applied Strategy and Builder patterns for extensible, validated event creation, Factory pattern for multi-format exports, and Template Method for reusable controllers/views, with robust error handling and comprehensive unit testing.
Web-based application for customer purchase prediction using Multiple Linear Regression, leveraging product categories and user demographics to help clients target potential buyers with personalized discounts. Built with Python, Hadoop, and Azure ML Studio.
Professional achievements and academic accomplishments
Academic foundation in Computer Science and Artificial Intelligence
Master of Science in Computer Science (Focus: Artificial Intelligence)
Bachelor of Engineering in Computer Science and Engineering. CGPA: 8.75/10 (Distinction)
Comprehensive technical proficiency across modern technologies, frameworks, and methodologies
Professional certifications in AI, Cloud Computing, and Data Science
Extracurricular activities and personal interests
Open to Fall 2026 Co-ops/Internships, research collaborations, and innovative projects in Agentic AI, AI/ML, GenAI, and Full-Stack Engineering.
