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Ishaani Jain
ishaani.jain1@gmail.com Seattle, WA & Irvine, CA U.S. Citizen linkedin.com/in/ishaanijain github.com/ishaanijain ishaani.site
Technical Skills
Languages
Java, Python, C++, CUDA, JavaScript (React), HTML, CSS, SQL, R
Web & Tools
React.js, FastAPI, REST APIs, Git, IntelliJ / VS Code, Docker, Linux
ML & CV
PyTorch, TensorFlow, TensorRT, OpenCV, ONNX, scikit-learn
Cloud & Systems
AWS (Lambda, DynamoDB, S3, Bedrock, CDK), GPU kernel optimization, Unreal Engine 5
Research Areas
Computer Vision, Sim-to-Real Transfer, Embodied AI, HPC, AI Safety
Experience
Software Developer Engineer Intern
May 2026 – Present
C2S Technologies, Inc. · Seattle, WA
  • Developing full-stack software solutions including front-end interfaces and back-end services; collaborating with cross-functional teams to gather requirements, write technical documentation, and deliver production-ready features.
  • Applying proficiency in Java, JavaScript (React), HTML/CSS to build and maintain enterprise-grade applications with a focus on usability, performance, and compliance with organizational standards.
Researcher
Apr 2026 – Present
CSAIL · Massachusetts Institute of Technology (Hybrid)
  • Accelerating irregular and unstructured computational problems by designing efficient GPU systems and programming models in C++ and CUDA; optimizing memory hierarchies and execution pipelines for high-performance computing applications.
  • Producing technical documentation of system architectures, benchmarking methodologies, and experimental results within the research groups of MIT CSAIL faculty.
Research Assistant
Apr 2026 – Present
Human Sensing Lab · Carnegie Mellon University (Pittsburgh, PA)
  • Authoring a photorealistic Unreal Engine 5 synthetic data pipeline generating large-scale annotated human motion sequences; designing multi-scenario video generation protocols to quantify how synthetic visual diversity drives pose estimation accuracy in real-world robot deployments.
Undergrad Researcher
Mar 2026 – Present
Ramsey Lab · Oregon State University (Hybrid)
  • Architecting high-performance infrastructure for the NIH NCATS Biomedical Data Translator, directly improving how scientists query and integrate global medical databases.
Outreach Officer
Feb 2026 – Present
AWSCloud@UCI · Amazon Web Services (AWS)
  • Connecting students with cloud computing resources, organizing workshops, and facilitating AWS certification study groups.
Software Development Intern
Feb 2026 – Apr 2026
GoFlyy · Los Angeles, CA (Top 4% of applicants)
  • Architected an end-to-end software pipeline for automated garment condition assessment, transforming manual inspections into a scalable AI-powered logistics workflow; achieved 90%+ defect classification accuracy and slashed inference latency 67% (2.1s to 680ms) via TensorRT INT8 quantization.
Undergrad AI/ML Researcher
Feb 2026 – Apr 2026
Calit2 · UC Irvine
  • Building physics-based AI to detect wildfires from over 6 miles away, providing critical early-warning data to ALERTCalifornia and emergency responders.
AI Safety Undergrad Research Fellow
Jan 2026 – Mar 2026
SPAR · UC Irvine
  • Selected for a competitive, 8-week fellowship to conduct specialized research on AI evaluation methodologies and alignment.
Founding Software Engineering Intern
Sept 2025 – Mar 2026
Stealth Aviation Tech Startup · Remote
  • Built and documented production full-stack infrastructure on AWS (Lambda, DynamoDB, S3, CDK), achieving 90%+ data extraction accuracy on aviation compliance documents; cut API latency 65% (8s to 2.8s) and maintained 90%+ test coverage across 15K LOC.
  • Wrote comprehensive technical documentation for system architecture, API contracts, and deployment procedures; scaled platform to 2 international clients processing 500+ documents/month.
Software Engineer Intern
Jul 2025 – Sep 2025
C2S Technologies, Inc. · Remote
  • Won 1st place and $10,000 in funding by leading a team of three to architect and launch an AI-driven investment matchmaking platform using RAG and UED.
Projects
Candid — IrvineHacks 2026 Best Overall Winner
React · FastAPI · RAG · LLaMA 3.3 70B · ChromaDB
  • Won best overall; built a full-stack application with a React front-end and FastAPI back-end over a RAG pipeline indexing 52,500+ real legislative chunks across all 50 states.
  • Trained regression model on 10-year Census data (R²=0.61) predicting household-level financial impact of legislation.
High-Performance CUDA Kernels
C++ · CUDA · PyTorch
  • Delivered 3x+ throughput over cuBLAS via shared memory tiling, warp-level primitives, and bank-conflict elimination; achieved 40%+ memory bandwidth reduction via register blocking.
  • Shipped as a PyTorch C++ extension with rigorous profiling via nsight-compute.
CNN Image Classifier with Full Training Infrastructure
Python · PyTorch · ONNX
  • Implemented ResNet-18 from scratch with a complete training pipeline including data augmentation, cosine LR scheduling, and early stopping; achieved 90% test accuracy on CIFAR-10.
  • Exported via ONNX for hardware-agnostic cross-platform deployment.
PyTorch DataLoader Optimization
Python · PyTorch · CUDA
  • A hands-on toolkit for profiling and optimizing PyTorch data loading pipelines. Demonstrates how to cut data loading overhead from ~40% to ~10% of total training time using smart batching, parallel augmentation, and CUDA prefetching.
Calendar AI
Python · Claude API · Google Calendar
  • AI-powered planner that parses natural language ("Study for 2 hours"), understands when you're busy, finds optimal open slots, and automatically syncs changes to Google Calendar.
Education
University of California, Irvine
Sep 2025 – Jun 2027
B.S. Computer Science, Minor: Statistics · GPA 4.0 · Junior Standing as Freshman
Coursework: Operating Systems, Data Structures & Algorithms, C++, Linear Algebra, Multi-variable Calculus, Statistics
Clubs: CS: Bits & Bytes · ICSSC · AI@UCI · QC@UCI · Society of Physics Students · AWS Cloud Club (Outreach Officer)