Jun 2026 to Present
AI Engineer
Independent Projects · Self-directed / Remote
Shipping production-style AI apps end to end: full-stack engineering fused with LLM systems and applied AI.
LLM SystemsFull-StackApplied AI
OPEN TO AI / ML ROLES
YASH SRIVASTAVA
> AI / ML ENGINEER
I build production-grade AI systems with AI agents, Agentic RAG, LLM orchestration, evaluation pipelines, and applied ML. I focus on building reliable AI that works with real users, real data, and real-world problems.
AGENTIC RAG LLM ORCHESTRATION EVALS VECTOR SEARCH GUARDRAILS APPLIED ML AGENTIC RAG LLM ORCHESTRATION EVALS VECTOR SEARCH GUARDRAILS APPLIED ML
PROJECTS
EXPERIENCE
Jan 2026 to May 2026
Gen AI Engineer
OneHeal Technologies · Remote
Built an end-to-end vision OCR/OMR pipeline for scanned medical forms, plus an agentic RAG engine for NCCN clinical guidelines.
Vision ModelsAgentic RAGOCR/OMR
Dec 2025
Technical Intern
OneHeal Technologies · Remote
Worked on scalable backend design with FastAPI and REST APIs on a healthcare product.
FastAPIREST APIs
Sep 2025 to Dec 2025
AI Intern
AD&AR Technologies · Onsite, Noida
Built a voice assistant on n8n (STT, TTS, RAG) for natural conversation, and fine-tuned an open-source LLM with QLoRA.
n8nSTT/TTSQLoRA Fine-tuning
SKILLS
Generative AI
- LLMs
- RAG
- Agentic AI
- AI Agents
- LLM Orchestration
- Prompt Engineering
- Context Engineering
- Structured Outputs
- Function/Tool Calling
- Conversational AI
LLM Engineering
- RAG Pipelines
- Embeddings
- Vector Search
- Context Management
- Token Optimization
- LLM Streaming
- Prompt/LLM Evaluation
- AI Safety & Guardrails
- Hallucination Mitigation
AI Systems & MLOps
- Evaluation Pipelines
- Observability
- LLM Tracing
- Logging
- Performance Monitoring
- Latency Optimization
- Token/Cost Monitoring
Backend & APIs
- FastAPI
- REST APIs
- AsyncIO
- Server-Sent Events
- API Authentication
- Rate Limiting
- Retry & Exponential Backoff
Data & Databases
- PostgreSQL
- Supabase
- Pandas
- Vector Databases
Security
- JWT Authentication
- PostgreSQL RLS
- API Security
- Input Validation
- AST-based Sandboxing
Languages
- Python
- TypeScript
- JavaScript
- SQL
ABOUT ME
I'm Yash, an AI/ML engineer focused on building production-grade AI systems.
I build AI agents, Agentic RAG pipelines, LLM-powered applications, evaluation systems, and vision and voice AI workflows. I've worked on everything from fine-tuning open-source LLMs with QLoRA to building RAG systems, agentic workflows, and reliable LLM infrastructure.
I enjoy taking AI ideas from prototype to production by combining LLMs with solid backend engineering, tool calling, orchestration, evaluation, and guardrails.
I'm interested in building AI products that are useful, reliable, and built for real-world problems.
WHAT I BRING
AI AgentsAgentic RAGLLM OrchestrationVoice AILLM Fine-tuningRAG PipelinesLLM Evaluation
CONTACT