Pratik
Sontakke
AI Engineer specializing in production-ready RAG systems, autonomous Agents, and PEFT fine-tuning—delivering reliable, explainable AI powered by Python, LangChain/LangGraph, and AWS.
I build secure multi-tenant backends, craft retrieval pipelines that surface the right context, and ship resilient, low-latency APIs with strong observability. Experienced across FastAPI, Spring Boot, pgvector/Pinecone, and CI/CD pipelines that keep systems scalable and dependable.
Technical Skills
AI & Machine Learning
LLMs, RAG, AI Agents, Fine-Tuning (PEFT), LangChain, LangGraph
Backend & APIs
FastAPI, Spring Boot, Microservices, REST APIs
Languages & Databases
Python, Java, JavaScript, SQL • pgvector, PostgreSQL, MySQL, Redis • Pinecone, Chroma
Cloud & DevOps
AWS, Docker, Kubernetes, Terraform, GitHub Actions, Vercel
Projects
Multi-Tenant RAG-as-a-Service Platform
Production-grade conversational AI platform with secure schema-per-tenant isolation and RBAC, projected to save clients $20k and 1–2 months of build time.
- FastAPI backend on AWS with real-time, context-aware responses
- PostgreSQL with schema-per-tenant and fine-grained RBAC
Intelligent RAG Assistant (Google Workspace)
Multi‑modal assistant that centralizes knowledge workflows and automates email—boosting productivity by ~20% and cutting research time by up to 75%.
- Ingests Google Drive files and drafts Gmail with OpenAI models
- n8n-orchestrated pipeline across OpenAI, PostgreSQL/pgvector, Workspace
Professional Experience
Cloud & Backend Engineer (Freelance)
- Built AWS infrastructure with Terraform; cut deploy times to <10 minutes via CI/CD.
- Developed and containerized a microservice with Java & Spring Boot.
Software Engineer — Guenstiger
- Developed high‑performance REST APIs in Java & Spring Boot; reduced API latency by ~200ms.
- Led backend enhancements improving throughput by 15% with zero additional infra cost.
Junior Technical Consultant — Edifition
- Translated client needs into specs for 5+ projects, reducing requirement change requests by 15%.
Education
AI Engineering
Bachelor of Science (B.Sc), Computer Science
Let's Connect
Open to roles in Fine-tuning (PEFT), ML, AI Engineering, and collaborations on RAG/Agents projects.