Experience
AM
Software Development Engineer Intern
Amazon · Boston, MA
Jun 2025 - Aug 2025
BedrockLambdaDynamoDBOpenSearchCDK
- Built a Bedrock AI agent that automated config generation, reducing creation time by 93% for 400+ developers
- Engineered a data pipeline using Lambda, DDB, and OpenSearch to auto validate and process 3K+ configs per day
- Published agent to Amazon's package manager with evaluation layer, boosting config correctness by 40% org-wide
- Scaled adoption across PXT as teams integrated package to streamline workflows and cut config turnaround by 75%
CO
Machine Learning Research Intern
ColAI · Remote
Jul 2024 - Dec 2024
PyTorchPythonPandasScikit-learn
- Automated ETL pipelines for ingest, cleaning, and feature engineering in PyTorch, cutting runtime by 50%
- Developed transformer forecasting pipeline across 30 datasets, improving accuracy 18% and anomaly detection 22%
NE
Student Computer Technician and Developer
New York University · New York, NY
Feb 2024 - Present
BashLinuxPythonNetworking
- Automated security configuration enforcement in Bash across 700+ systems, reducing misconfigurations by 45%
- Built monitoring workflows for network reliability, enabling early detection of failure and cutting downtime by 30%
- Designed Tisch IT intranet into internal dev platform, improving tool discoverability and team efficiency
FO
Software Application Intern
Fortinet · Sunnyvale, CA
Jun 2023 - Aug 2023
PythonBurp SuiteSASTSQL
- Detected and remediated 400+ vulnerabilities, preventing XSS, SQL injection, and privilege-escalation attacks
- Reproduced 150+ suspected flaws in sandbox environment to verify exploitability and confirm patch success
- Partnered with InfoSec to improve scanning coverage and coding patterns, increasing protected codebase by 20%
Featured Projects
A selection of systems and applications that I've been working on recently.
Built a real-time AI tech interviewer using LiveKit for low-latency audio streaming and session orchestration
Designed an end-to-end STT → LLM → TTS pipeline using Vertex AI and ElevenLabs for real-time voice feedback
Implemented context-aware prompting and conversation memory to deliver structured, interview-style guidance
Deployed a containerized Next.js application with a dedicated inference worker to isolate real-time LLM workloads
GA
Built a personal training intelligence dashboard that connects to Hevy workout history and WHOOP biometric data
Engineered a full analytics pipeline with ACWR calculations, plateau detection, and session quality scoring
Implemented AI coaching powered by local Ollama models with complete training context for personalized guidance
Designed six dedicated pages covering training, recovery, nutrition, and analytics with real-time data visualization
SI
Built an ML news aggregator with scheduled scraping from arXiv, Hugging Face, RSS feeds, and X/Twitter API
Engineered a pipeline that deduplicates articles, summarizes them via local Ollama models, and stores in Postgres
Implemented APScheduler for automated 6-hour pipeline runs with cost-managed API usage and hard monthly caps
Designed a Next.js frontend styled like TLDR with filtering, tagging, and pagination for curated ML content
Built a fully functional Chip-8 emulator in C++ implementing all 35 opcodes for accurate ROM execution
Engineered a display system using SDL2 to render a 64×32 framebuffer at 60 Hz with configurable scaling
Implemented precise CPU timing and sound timer logic to ensure authentic gameplay speed and audio feedback
Added debug tooling including register dumps and memory inspection to streamline opcode troubleshooting
Led 15+ customer discovery interviews with pharma and biotech teams to understand regulatory pain points
Leading AI and infra roadmap for a regulatory intelligence platform serving insights from 1,000+ FDA documents
Designing scalable APIs and RAG pipelines to answer regulatory questions from FDA filings
AS
Built a real-time ASL alphabet recognition system using MediaPipe Hands to extract 21 3D hand landmarks per frame
Trained a TensorFlow classifier on labeled gesture frames to recognize 26 ASL letter signs
Engineered an OpenCV video pipeline for end-to-end frame processing with low-latency inference
Implemented a live overlay displaying confidence scores and predicted sign output for interactive feedback
AU
Developed a GitHub App that automatically generates video walkthroughs for UI changes in Pull Requests
Integrated Gemini 1.5 Flash to analyze code diffs and synthesize Playwright scripts for visual verification
Orchestrated a secure, sandboxed execution environment to run generated tests and capture video artifacts
Streamlined code review by embedding visual proof-of-work directly into PR comments, reducing review time
Education
New York University
Dual Major in Computer Science and Data Science
Aug 2022 - May 2026GPA: 3.7/4.0
Coursework: LLMs, Software Engineering, Machine Learning, Algorithms, Data Management, Operating Systems, Causal Inference
Skills
Languages
C++
Python
TypeScript
Go
Java
CSQL
SQL
JavaScriptFrameworks & Tools
PyTorch
TensorFlow
React
Node.jsMED
MediaPipe
OpenCV
Pandas
Scikit-learn
Linux
BashCloud & Infrastructure
AWS
Docker
PostgreSQL
Google Cloud
Redis
MongoDBCLO
Cloudant
