001
ASL Video Translator
Real-time ASL-to-English system using OpenCV, MediaPipe, TensorFlow, and ChatGPT achieving sub-150ms inference latency. Authored two research papers submitted to IEEE and JMAI.
OpenCVMediaPipeTensorFlowChatGPT
ML Engineer / Full Stack / CS @ NYU
Pranaav Iyer Engineer_
I build intelligent systems that bridge raw data and real-world impact — real-time ASL translation, trading engines, and AI agents.
01 — About
I build intelligent systems that bridge the gap between raw data and real-world impact — from real-time ASL translation to automated trading engines.
LocationFremont, CA
EducationM.S. Computer Science, NYU · 4.0 GPA
LanguagesPython · React.js · SQL · C/C++ · Java
StatusRAS Intern @ IBM · open to full-time '27
<150msASL inference latencyreal-time on commodity hardware
+15%OCR model accuracydata profiling @ Avyay
+40%perf test coverageautomated benchmarking
2research paperssubmitted to IEEE & JMAI
4.0GPA @ NYUM.S. Computer Science
6+projects shippedCV · trading · AI agents
02 — Expertise
01
Programming
Python · React.js · SQL · C/C++ · Java · JS · CSS · HTML
02
AI / Machine Learning
TensorFlow · PyTorch · NLP · OCR · Automation
03
Development Tools
Docker · Flask · Jupyter Notebook · OpenCV
04
Computer Vision
OpenCV · MediaPipe · Pose Estimation · Real-time Inference
05
Research & Writing
IEEE Publications · Technical Documentation · EDA
06
Leadership
Team Direction · Mentorship · Project Management
03 — Experience
RAS Intern
Building and shipping production software at IBM as a RAS Intern, working alongside their engineering teams.
Machine Learning Intern
Improved OCR model accuracy by ~15% through targeted data profiling, outlier reduction, and redesigned preprocessing pipelines. Partnered with Google engineers on Image AI (OCR) solutions that cut customer issue-resolution time by 20%, and authored an onboarding whitepaper that sped up how new hires ramped on the OCR stack.
Documentation Intern
Produced and streamlined 20+ pages of AI/ML technical documentation, improving onboarding speed and documentation accuracy by 25%. Interviewed senior engineers to capture workflows into standardized references adopted by engineering and QA, and contributed to a harmonized classification plan projected to strengthen compliance efforts by 20%.
04 — Projects
002
Thinkorswim Trading Bot
Versatile trading bot harnessing AI, chart signals, and diverse indicators, enriched by a trader's market expertise. Built around ThinkorSwim APIs with rule-based execution frameworks.
PythonThinkorSwim APIAIIndicators
003
HearSay
App that translates ASL gestures into spoken audio in real-time for phone calls — bridging communication gaps with computer vision and NLP.
ASLComputer VisionReal-timeNLP
04
004
Debrief
Meeting debrief agent that gathers context from Zoom meetings and turns ideas into action. Automates the gap between conversation and execution.
AI AgentZoom APINLPAutomation
05
005
Signal
Lead monitoring tool for business owners looking for their niche. Tracks signals and surfaces opportunities automatically.
PythonMonitoringData Pipeline
06
006
Centra
Productivity app designed for the modern addiction — helping users reclaim focus and build healthier digital habits through intelligent tracking.
ProductivityBehavioral MLReact
05 — Education
Expected May 2027
New York University
M.S. Computer Science — GPA 4.0/4.0
Courant Institute · Fundamental Algorithms · Artificial Intelligence · Machine Learning · Programming Languages · Operating Systems
Jul 2021 — May 2025
Purdue University Fort Wayne
B.S. Computer Science — GPA 3.5/4.0
Minor: Mathematics & Business · Data Structures · Software Engineering · Computer Architecture · Computer Security · Computer Networks · Discrete Math · Calculus I–II