Building AI systems that see, reason, and act. Specializing in computer vision pipelines (YOLOv8 + ByteTrack), multi-agent architectures, and production full-stack deployment.
FROM DATA.
TO PRODUCTION.
Final-year B.E. student in Artificial Intelligence & Data Science at M.M. College of Engineering, Pune. I interned at xLogia Tech shipping an end-to-end real-time wildlife detection pipeline across 19 animal classes with YOLOv8 and ByteTrack multi-object tracking.
My engineering work bridges the gap between raw ML research and production reliability. I build high-throughput asynchronous APIs with FastAPI, containerized deployments with Docker, and responsive real-time web applications with Next.js and TypeScript.
- CALLSIGN
- AVADHOOT
- BASE LOCATION
- Pune, Maharashtra, India
- DEGREE PROGRAM
- B.E. AI & Data Science
- INSTITUTION
- SPPU, Pune
- CUMULATIVE GPA
- 9.42 / 10.0
- PRIMARY STACK
- PyTorch · YOLO · FastAPI
- GRADUATION
- Expected Aug 2027
SYSTEMS ARCHITECTURE.
Verified model benchmarks, real-time object tracking pipelines, and production full-stack engineering.
PROBLEM FORMULATION
Framing real-world vision & inference constraints
DATASET CURATION
Annotation, augmentation & distribution balancing
MODEL TRAINING
Loss convergence, hyperparameter optimization & tuning
TRACKING & PIPELINE
ByteTrack integration & low-latency streaming
PRODUCTION DEPLOYMENT
Containerized microservices & telemetry monitoring
From dataset curation to production deployment, every millisecond of latency and every float precision matters.
FEATURED PROJECTS.
Production checkpoints, precision curves, inference metrics, and repository architectures.
WILDLIFE DETECTION & COUNTING PIPELINE
Real-time multi-class wildlife detection across 19 animal classes with persistent ByteTrack IDs, reducing duplicate counts by 70% at 48 FPS.
AGENT-API // COLLABORATIVE AI STUDIO
Autonomous multi-agent orchestration engine powering 10 concurrent AI agents reviewing, drawing, and verifying full-stack interfaces in real time.
ENTERPRISE RAG ARCHITECTURE
Production retrieval-augmented generation engine pairing dense embeddings with BM25 keyword search and cross-encoder re-ranking in Qdrant.
EXPERIENCE & HONORS.
Engineering milestones, industry internships, and academic achievements.
AI/ML Intern
- ▸Engineered an end-to-end computer-vision pipeline for wildlife detection & counting across 19 animal classes on 10,000+ images (80% mAP50, 85% precision).
- ▸Implemented ByteTrack multi-object tracking to hold persistent IDs across frames, cutting duplicate counting by 70%.
- ▸Architected real-time streaming analytics pipeline running at 40–50 FPS with bounding boxes and live count overlays.
Corporate Web Developer
- ▸Delivered responsive corporate platform for bakery-machinery manufacturer across Home, About, Products, and Contact.
- ▸Engineered fast loads, client-side routing, and SEO best practices on Vercel.
B.E. in AI & Data Science
- ▸Academic excellence with 9.42 CGPA in Artificial Intelligence and Data Science.
- ▸1st Place in Poster Presentation Competition at Savitribai Phule Pune University.
- ▸Organized Udaan project showcase and managed NEURA Technical Club finances.
LET'S WORK
TOGETHER.
Have a computer vision challenge, an autonomous agent pipeline, or a full-stack platform to engineer? Let's build systems that survive contact with production.
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