Engineer working across AI agents, full stack products, and machine learning. I turn hard, ambiguous problems into things people can actually use, from LLM driven agents to published research.
I work across software development, machine learning, full stack engineering, and distributed systems. Right now I am an AI Engineering Intern at Postman in Cupertino, building LLM driven agents, deploying production agents, and shipping tools that remove manual work from real workflows.
Before Postman I spent two years at Ericsson R&D delivering more than 100 features for 5G revenue management, plus internships at Fiserv and Samsung R&D. Alongside industry work I have published 10+ research papers across IEEE, AIP, and IGI. I like taking an ambiguous, hard problem and turning it into something people can actually use.
I have published 10+ peer reviewed papers.
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The things I build from scratch, from my own AI ventures to a new product I am shipping inside Postman. This is what I stay up late for.
A control plane that sits between an AI agent and the tools it calls. It answers one question in about a tenth of a millisecond, allow, deny, or hold for a human, then writes a hash chained, tamper evident record of every decision and routes the hard calls to a person.
An AI recruitment engine that parses job requirements, scores candidates against customizable priorities, and generates LinkedIn x-ray searches. It integrates with the Manatal ATS and exports to CSV, PDF, and JSON.
One app description, deployed to any backend. You describe an app once as a Postman Flow and Portage reads it, works out what it needs, generates the deploy artifacts, and hands off to Astro, n8n, or your own adapter. Kind of a new venture inside Postman, built with zero dependencies and no build step.
A mix of AI agents, multimodal generative systems, biomedical signal processing, and low level systems. From research papers to shipping apps.
An agent that ranks a role's applicants or sources across an entire candidate database. It embeds every candidate into a persistent Qdrant index, retrieves the top matches by similarity, then deep scores them with Claude using scoring weights that adapt per job description. Email and scheduling happen in the same window.
A clinical web app that analyzes cerebral blood flow physiology in LVAD patients. From raw signals sampled at 125 Hz it computes autoregulation (CA and Mx), cerebrovascular reactivity (CVR), and per beat pulsatility, separating heart driven from pump driven beats. A full Python and Flask port of a MATLAB research tool, with Excel and JSON export.
A multimodal pipeline that drops you into a movie scene. It captions your photo, writes a scene with an LLM, generates the frame with Stable Diffusion, and face swaps you in, all behind a Gradio interface. Built for Penn CIS 5810.
A Streamlit chatbot that answers free form HR questions by pulling live Workday data and applying company policy. A Claude agent selects read only tools, queries over OAuth2 REST, and lets you switch models from the sidebar. Built internally at Postman, so the code stays private.
Proof based hiring. Employers define exactly what evidence they accept for a role, candidates submit real work artifacts, and AI produces a ProofCard, a pass or fail verdict anchored to actual evidence rather than a resume.
A file system built on N-ary trees and hashing for secure, faster backups, with a JSON based hash tree for change detection. Parallelized with OpenMP, it achieved more than 100 percent improvement over traditional systems.
Published in AIP Conf. Proc. 2916 (2023)
A hybrid feature extraction pipeline combining DWT, PCA, GLCM, and OKE on the BRATS 2017 dataset, improving medical image retrieval accuracy by up to 28 percent over baseline models.
A deep learning model that grades diabetic retinopathy from retinal scans using CNNs and an Inception v3 backbone, wrapped in a Flask frontend for easy use by clinicians.
Six sides of how I think and build. Tap any tile and it opens up.
Tuned to what teams are hiring for right now, agentic AI, LLM systems, and production grade full stack and cloud.
More than 10 peer reviewed papers across machine learning, computer vision, healthcare, quantum computing, security, and smart cities.
Philadelphia, PA
Master of Science in Engineering in Computer and Information Science
Expected May 2027
Vellore, India
Bachelor of Technology in Computer Science and Engineering
2019 to 2023