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Python FastAPI Generative AI Developer

Location:
Hyderabad, Telangana, India
Salary:
12.5Lpa
Posted:
July 12, 2026

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Resume:

RAKESH ALGOT

Location: Hyderabad, India

Email: ***********.******@*****.***

Mobile: +91-814*******

LinkedIn: linkedin.com/in/algot-rakesh

PYTHON DEVELOPER GENERATIVE AI & FASTAPI

Python Developer with experience building scalable FastAPI applications, AI-powered retrieval systems, asynchronous processing pipelines, and production-ready Generative AI applications. Skilled in developing REST APIs, integrating LLMs, designing RAG pipelines, implementing vector search, and deploying cloud- native applications. Experienced in building end-to-end AI workflows involving document processing, retrieval optimization, prompt engineering, and AI service integrations. CORE SKILLS

Language & Frameworks: Python, FastAPI, REST APIs. Databases: MongoDB, PostgreSQL, Redis.

Generative AI: LLM Integration, Retrieval-Augmented Generation (RAG), LangChain, Qdrant, FAISS Cloud & DevOps: Docker, AWS EC2, Linux, Nginx, GitHub Actions. Authentication & Security: RBAC, Keycloak, Authentication, Authorization Version Control: Git, GitHub

Testing & API Tools: Pytest, Postman, Swagger/OpenAPI PROFESSIONAL EXPERIENCE

Python Developer

Yensi Solutions — Hyderabad Aug 2024 – Present

• Reduced API response latency by ~40% through Redis caching, query optimization, and efficient data retrieval strategies.

• Designed asynchronous document-ingestion pipelines using FastAPI Background Tasks, Celery, Redis, and MongoDB for large-scale document processing.

• Designed, developed, and maintained 100+ production-grade FastAPI endpoints supporting document processing, user management, authentication, AI workflows, and business operations.

• Built retrieval workflows processing 300+ documents using Qdrant vector search, hybrid retrieval, and reranking techniques to improve retrieval quality and response relevance.

• Improved retrieval accuracy and response quality by optimizing hybrid search, ranking, and reranking pipelines, achieving ~20–30% improvement.

• Deployed and managed containerized applications on AWS EC2 using Docker, Nginx, and Linux environments.

PROJECTS

Citex — Citation-grade Context Retrieval System

Tech: FastAPI, MongoDB, Qdrant, Redis, Docling, BM25, Celery

• Built asynchronous document ingestion pipelines for large-scale PDF and document processing.

• Developed hybrid retrieval systems combining semantic vector search, BM25 keyword search, and reranking.

• Implemented document chunking, metadata extraction, and citation mapping for accurate evidence- backed responses.

• Improved retrieval latency through Redis caching and retrieval pipeline optimizations. AH Ledger — AI-Powered S106 Compliance System

Tech: FastAPI, MongoDB, Claude, Gemini, OCR, AsyncIO

• Developed AI-driven document processing pipelines for legal clause extraction and compliance tracking.

• Implemented prompt engineering, validation pipelines, fallback handling, and hallucination reduction mechanisms.

• Built OCR-enabled processing workflows for scanned and image-based documents.

• Developed document comparison engines using SequenceMatcher and conflict detection logic. AI Pujari — AI-Enabled Digital Platform

Tech: FastAPI, MongoDB, ElevenLabs (STS/TTS), HeyGen API, FFmpeg, Keycloak, Razorpay

• Integrated ElevenLabs and HeyGen APIs to generate personalized AI voice and video experiences.

• Built asynchronous AI processing workflows for long-running media generation tasks.

• Developed payment gateway integrations with Razorpay and Stripe, including dynamic currency routing, Developed secure authentication and role-based access control using Keycloak. Golf Addicts — Tournament & League Platform

Tech: FastAPI, MongoDB, Redis, Docker, Keycloak

• Developed FastAPI-based REST APIs for player management, tournament setup, match scheduling, and leaderboard generation.

• Implemented CSV import/export workflows with validation, duplicate detection, and error handling.

• Designed caching layers using Redis and implemented MongoDB indexing to accelerate data retrieval, improve scalability, and optimize high-traffic API performance.

• Integrated Keycloak-based authentication and role-based authorization for secure API access. EDUCATION

Master of Computer Applications (MCA)

Nizam College — Hyderabad

Graduated - 2022



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