I'm a multi-disciplinary builder working at the intersection of Robotics, Machine Learning, and Language.
My work spans intent prediction, LLM-driven simulation, real-time agents, and scalable full-stack systems.
I care about building systems that are:
- ⚙️ Reproducible
- 🧭 Intent-aware
- 📊 Evaluation-rich
- ⚡ Fast & deployable in real environments
- Designing intent inference pipelines using transformer encoders + YOLO scene trimming
- Multi-modal reasoning for human–robot interaction (HRI)
- Built LCARS: LLM → Python Simulation Script → CARLA crash video
- Fully reproducible with artifacts (
scenario.txt,script.py,video.mp4,meta.yaml)
- On-device ASR + diarization (Whisper + PyAnnote)
- Topic threading, action-item extraction, meeting analytics
- React/TS, FastAPI, ETL pipelines
- CI/CD (GitHub Actions), Docker, monitoring, testing harnesses
Aug 2025 – Present
- Co-developing the Intentionality dataset for grounded intent prediction
- Running model evaluations on GPT-4/5, Claude, Llama, EMMA
- Building annotation pipelines, consistency checks, and prompt-based inference tools
- Focus on grounded language understanding + embodied reasoning
Aug 2025 – Dec 2025
- Built Ramblytics, a real-time meeting intelligence system
- Implemented Whisper + PyAnnote ASR/diarization pipelines
- Designed topic segmentation + action-item extraction engine
- Added Docker, CI/CD, logging, monitoring, and testing harnesses
May 2025 – Aug 2025
- Developed automated crash-scenario simulation pipeline in CARLA
- Converted LLM prompts → Python scripts → deterministic simulation videos
- Generated datasets for situational reasoning and safety evaluation in AVs
- Built support for weather/time-of-day variations, seeds, multi-vehicle collisions
Jan 2024 – Dec 2024
- Designed RAG-based resume–job matching pipelines
- Built embedding search + entity extraction systems
- Integrated Snowflake + AWS pipelines for analytics
- Developed a Chrome extension for skill insights using NLP
2024 – 2026 (Expected)
Focus: Robotics, AI/ML, LLM Systems, Embodied AI
GPA: 3.4
2019 – 2024
Graduated with Distinction
Languages: Python, TypeScript, SQL, JavaScript, R
AI/ML: PyTorch, Transformers, YOLO, ONNX Runtime
Robotics: ROS 2, CARLA, scene extraction
DevOps: Docker, GitHub Actions, AWS, Vercel
- Early intent recognition for embodied agents
- LLM reasoning under uncertainty
- Real-time inference (low-latency ASR + diarization)
- Multimodal grounding for robotics
- Evaluation benchmarks for LLM-driven simulation
Always excited to connect, collaborate, and build impactful AI systems 🤝
🚀 Feel free to explore my repositories or reach out!
