DOC.AI
Production RAG system for PDF and DOCX ingestion. SQL-backed retrieval, multi-document comparison, and AssemblyAI voice interface. Built to handle real document workloads — not a chatbot wrapper.
1st Place · Need for Code 4.0
Yashas Vaddi — AI/ML Engineer building production LLM, RAG and multi-agent systems
>_ AI/ML Engineer
I build AI that runs in production — not notebooks. Multi-agent pipelines, RAG systems, and cloud-deployed NLP services that handle real workloads.
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GPA
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Hackathon Podiums
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Published Papers
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Production Deployments
Recognition
7 podiums. All under pressure.
B.E. Computer Engineering at TSEC Mumbai — CGPA 9.02, top 5% of my class, graduating May 2027. Currently building multi-agent clinical AI pipelines at Eka.Care. My work doesn't stop at a working demo — it goes through orchestration, fault tolerance, observability, and GCP deployment.
At TRREV Technology I shipped a FastAPI service that improved keyword extraction precision by 30–50% in production — not in a controlled eval, in a live system. That gap between "it works on my machine" and "it works under load" is exactly where I operate.
7 hackathon podiums. 2 peer-reviewed papers. West Zone Winner and National Finalist at the IET India Scholarship Award 2026. Every project either deployed or competition-tested under pressure. I don't build things I can't ship.
Experience
Production, not sandbox.
Eka.Care
Jun 2026 — Present
Agentic AI Intern NOW
Bangalore, India
- Designing multi-agent clinical pipelines with tool-calling, memory management, and inter-agent communication layers.
- Building orchestration infrastructure for reliable LLM execution under real medical workloads — not synthetic benchmarks.
- Targeting production GCP deployment with structured fault tolerance, retries, and observability from day one.
TRREV Technology
Aug 2025 — Jun 2026
AI/ML Engineering Intern
Mumbai, India
- Deployed a production FastAPI keyword extraction service on GCP with Docker — improved precision by 30–50% through noise filtering, text normalization, and prompt tuning.
- Built a real-time medical transcription pipeline (VAD, ASR, medical NER, text-stitching) that hit production-grade accuracy on a lightweight server.
- Owned the full path from model selection to deployment, monitoring included.
Research · JETIR 2024
Developing smart education environments
Peer-reviewed AI/ML paper · read paper →
Research · IJTE
Low-cost multimodal AI for touch-free interaction
Gesture + AI voice/chat assistance · read paper →
Speaking & Community
Invited AI/ML Speaker — SIES GST
Local-to-production deployment · GDG TSEC Joint Tech Head
Recognition
Wins that matter.
West Zone
IET India Scholarship Award
2026
National Finalist
1st Place
Need for Code 4.0
2025
DOC.AI
1st Place
Codessiance
2025
SerenMind
1st Place
Techathon
2025
AI Council
1st Runner
TSEC Hacks 2026
2026
ScriptChat
1st Runner
HackVision
2026
Agentic LLM Council
2nd Runner
M-INDICATOR National AI Hackathon
2026
MindVoice
Best AIML
Code Craft 2.0
2025
DOC.AI
Hackathon Wins
Built fast. Judged harder.
Projects
Shipped work.
MindVoice
Multimodal depression detection fusing acoustic features (MFCCs, pitch, energy) with linguistic NLP. Voice → prosody extraction → BiLSTM + transformer fusion → explainable 3-tier risk score, deployed on GCP with consent safeguards.
2nd Runner · M-INDICATOR National AI Hackathon
ScriptChat
AI-powered writing IDE with context-aware assistance for story development and continuity. A multi-agent feedback panel — Director, Editor, Audience — gives structured evaluation, all on locally-run models for privacy.
1st Runner · TSEC Hacks
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Technical Stack
What I actually ship with.
ML / DL
- PyTorch
- Transformers
- DistilRoBERTa
- TensorFlow
- Scikit-learn
NLP
- RAG Pipelines
- LLM Orchestration
- Keyword Extraction
- Embeddings
- Sentiment Analysis
Backend
- FastAPI
- REST APIs
- Service Design
- Asynchronous Services
- TCP/IP Fundamentals
- Linux/OS Basics
Cloud / MLOps
- GCP Compute
- Docker
- Monitoring
- AWS (EC2, S3, Lambda, IAM)
- CI/CD Pipelines
Languages
- Python
- C++
- SQL
- JavaScript
Data
- Vector Search
- ETL Workflows
- Experimentation
- Pandas
- NumPy
- Feature Engineering
Practices
- Git & Code Review
- Unit Testing
- Agile / SDLC
- CI/CD
- Observability
Contact
If you're building something real, let's talk.
Open to internships, research roles, and founding engineer conversations. I respond fast. If you've read this far, you already know I ship.