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Experience & education

Résumé

A selective snapshot of my engineering, AI, research, product, and community work.

Education

Duke University Durham, NC · Aug 2023 — May 2027

B.S. in Electrical & Computer Engineering (AI/ML), Physics, and Computer Science, with Distinction.

Computer science & AI Data Structures & Algorithms, Introduction to Artificial Intelligence, AI & Agents

Computer engineering Computer Architecture, Computer Networks, Digital Systems, Microelectronic Devices and Circuits

Physics & ECE foundations Mechanics and E&M, Fields & Waves, Optics and Modern Physics, Biophysics II

Applied systems Advanced UAV Engineering, Differential Equations, Probability, Signals & Systems

Experience

Member of Technical Staff & SDE Intern Amazon AGI Lab & Amazon Kiro Labs · May 2026 — Present

Architecting low-latency voice-to-agent workflows that connect Kiro code agents with streaming ASR/TTS infrastructure.

  • Building a real-time agent runtime for model-selectable coding, session state coordination, streaming events, and autonomous code execution.

AI Data Engineering Intern Pfizer · Jan 2026 — Apr 2026

Built scalable data pipelines and AI/ML workflows for genomics data processing and model-driven analysis.

Machine Learning Engineering Intern Amazon Web Services · May 2025 — Aug 2025

Developed a benchmark analysis platform adopted by Kiro, Amazon Q, and AWS Agentic AI teams to accelerate iterative LLM improvement.

  • Architected a serverless evaluation system with Lambda, DynamoDB, S3, and Bedrock, accelerating ML optimization by 40%.
  • Orchestrated 120+ distributed service interactions across a fault-tolerant, highly scalable architecture.
  • Built cross-benchmark pattern detection, AST dependency mapping, ML-driven error fingerprinting, a React insights dashboard, and modular tests.

Software Engineering Intern Amazon Web Services · May 2024 — Aug 2024

Built Python, SQL, and R analysis pipelines for Amazon Q Developer, increasing reporting throughput and reducing transformation errors.

  • Optimized LLM pipeline analysis in Lambda and distributed training workflows using SageMaker, Step Functions, and Redshift.

Embedded Software Engineering Intern Rockwell Automation · Jun 2023 — Aug 2023

Developed C++ firmware for L8Z motion controllers using RTOS scheduling and EtherCAT control loops.

  • Improved motion accuracy and reduced build latency with MATLAB simulations, Git-based CI, VMware, Docker, and Jenkins.

Quantum Computing Researcher MIT Lincoln Laboratory · Feb 2022 — Dec 2022

Implemented the HHL algorithm in Microsoft Q# and Qiskit for quantum fluid-flow and cognition simulations.

  • Engineered circuits using eigenvalue estimation, amplitude amplification, and Hamiltonian simulation for faster runtime experiments.

Software Engineering Intern Rockwell Automation · Jun 2022 — Aug 2022

Developed automated C++ verification suites for Logix Controllers using GoogleTest and VectorCAST.

  • Built firmware test harnesses with Jenkins CI, Python scripting, containerized builds, hardware-in-loop testing, and regression analysis.

Skills

Languages Python, Java, C++, C, SQL, R, MATLAB, MIPS, x86 Assembly, TypeScript, Dart, JavaScript, Verilog, VHDL, Bash/Shell, HTML, CSS, Go

Cloud, product, and systems AWS Lambda, DynamoDB, S3, Bedrock, SageMaker, Azure, Firebase, Supabase, Docker, Kubernetes, Linux, Git, React, Flutter, Figma

ML, data, and engineering tools PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, OpenCV, Hugging Face, GraphQL, MLflow, Qiskit, IBM Quantum, AutoCAD, Inventor, Adobe Creative Suite

Projects

TargetONCO Agentic AI platform for precision oncology · Jan 2026 — Current

Built a Python, FastAPI, React, and LangGraph system orchestrating radiology ML, spatial proteomics, hybrid RAG retrieval, and Bayesian cancer differential ranking.

Quantum Bayesian Learner Hardware-aware circuit compression · Aug 2025 — Jan 2026

Implemented a hybrid QML Bayesian learner in Qiskit with Kraus CPTP evidence updates, variational circuits, greedy pruning, and gate-complexity benchmarking.

CtrlSlash Open-source Google for AI IDEs · Jun 2025 — Aug 2025

Built an MCP-based documentation engine for semantic RAG search, API/SDK scraping, knowledge embeddings, and containerized AI development workflows.

CipherShield TreeHacks winner · Feb 2025 — Aug 2025

Created a decentralized aggregation system using OpenFHE encryption and Solidity smart contracts for auditable protected-data aggregation.

SonicSync IEEE-published wearable · Aug 2023 — Aug 2024

Co-developed a submersible psychoacoustic testing apparatus with Garmin engineers using AutoCAD, MATLAB, and FPGA signal processing.

Languages

Native proficiency English, Urdu, Hindi

Professional working proficiency Arabic, Spanish

Basic proficiency Turkish, ASL

Recognition

  • Amazon Future Engineer Scholar — 1 of 250 scholars internationally; $40k award for engineering and CS excellence
  • Lockheed Martin STEM Scholar — 1 of 100 scholars nationally; $40k award for engineering and innovation
  • Dominion Energy Educational Equity Scholar — 1 of 40 scholars nationally; $40k award for social impact
  • Congressional Commendation — Congressman David Joyce, for Northeast Ohio community advancement in childhood education

Activities

Dark Matter & AI Research, Kotwal Labs Applying AI and FPGA-integrated circuitry to high-energy physics research.

ProductSpace@Duke, Fellowship Director Leading product fellows through technical product management education and multidisciplinary project mentorship.

HackDuke, Organizer Coordinating logistics, sponsors, teams, and social-impact programming for Duke's flagship hackathon.