Currently pursuing my Master's in Computer Science at the University at Buffalo (Graduating June 2026).
I build intelligent systems that solve real problems, combining deep expertise in AI/ML with full-stack development to create products people love. From ideation to deployment, I craft experiences that blend innovation with practicality.
- AI/ML: Reinforcement Learning (RL), Natural Language Processing (NLP), Computer Vision, Fine-tuning LLMs, CLIP, SAM, InsightFace.
- Engineering: Python, PyTorch, FastAPI, LangChain, LlamaIndex, SQL, MLOps, Docker.
- Frontend: React, Next.js, Tailwind CSS, Chakra UI, Framer Motion.
Enhanced the fact-checking capabilities of Large Language Models by implementing RL loops to verify and ground model outputs against factual datasets.
๐ผ๏ธ Face Studio & Image Indexing
Built a comprehensive face recognition and clustering pipeline using InsightFace and DBSCAN. Developed a system for image feature extraction and knowledge graph creation using CLIP and custom-trained VLMs.
Built a custom STT engine and an English-to-French translation model from scratch, including a video captioning systemโall without relying on external APIs.
- Multi-agent systems and autonomous LLM workflows.
- Unsupervised face clustering and large-scale image feature indexing.
- Advancements in Computer Vision (SAM 2, Depth Estimation).
| Category | Technologies |
|---|---|
| Languages | C, C++, Java, Python, JavaScript, SQL |
| Frontend | ReactJS, Redux, Next.js, TypeScript, TailwindCSS, GSAP, Vite |
| Backend | NodeJS, ExpressJS, Spring Boot, FastAPI, Kafka, MongoDB |
| Big Data & ML | PyTorch, TensorFlow, Spark, Hadoop, LangChain, LlamaIndex |
| Tools & Platforms | Linux, Docker, AWS, Git/GitHub, CI/CD, MLOps |
- Portfolio: sashidharmotte.netlify.app
- LinkedIn: /in/sashidharmotte
- Location: Buffalo, NY (Go Bulls! ๐ค)
"From ideation to deployment, I craft experiences that blend innovation with practicality."



