Available to hire
Hi, I’m Sreeraj Chintham, a Python Developer with around 4 years of experience architecting scalable backend systems, RESTful APIs, and data pipelines across healthcare and enterprise SaaS domains.
I specialize in building high-performance microservices using FastAPI, Django, and Flask, supporting real-time and streaming workloads. I have hands-on experience in cloud-native development (AWS/Azure), containerization, and CI/CD automation. I’ve worked on AI-powered backend systems including agent orchestration, retrieval-augmented generation (RAG), and conversational pipelines, delivering production-ready solutions in Agile environments.
Skills
Experience Level
Expert
Expert
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Expert
Expert
Expert
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Intermediate
Intermediate
Work Experience
Python Developer at PTC
January 1, 2025 - PresentArchitected and deployed microservices-based backend systems using FastAPI and Flask, delivering high-volume API traffic with 99.95% uptime. Designed stateful conversation and event-driven pipelines with REST APIs, authentication flows, Azure storage, and RabbitMQ/Kafka for real-time data synchronization. Built FastAPI services for real-time chat and streaming responses with asynchronous architectures for low-latency performance. Implemented AI agent orchestration workflows using LangGraph with multi-turn interactions and dynamic routing across capabilities. Developed tool-calling frameworks enabling AI agents to execute backend business logic via secure external APIs. Built automated ETL pipelines using Python, Pandas, and SQL to ingest and normalize data from 15+ sources. Optimized PostgreSQL performance through indexing and query tuning. Implemented CI/CD automation, monitoring, and alerting using GitHub Actions, Docker, and cloud-native tooling.
Python Developer at Citius Tech
January 1, 2020 - November 1, 2022Developed healthcare data processing applications using Python, Pandas, and NumPy to transform large volumes of HL7, FHIR, and EDI clinical data. Built scalable RESTful APIs with Django and Flask, enabling secure interoperability between EHR, payer, and insurance systems. Implemented retrieval pipelines using Pinecone vector database and OpenAI embeddings to support AI-driven knowledge retrieval and search use cases. Optimized semantic search accuracy using reranking techniques. Developed automated ETL pipelines for ingesting structured and unstructured documents into analytics and knowledge-base systems. Extended backend services to support real-time voice pipelines using LiveKit and Deepgram, implementing streaming STT/TTS workflows. Refactored legacy Python codebases, optimized database queries, and reduced end-to-end pipeline execution times. Built automated testing frameworks with PyTest and collaborated with DevOps teams to deploy containerized applications on AWS using CI/CD pip
Education
Master’s in Information Technology Management & Business Analytics at St. Francis College, Brooklyn, New York
January 11, 2030 - April 2, 2026Bachelor’s in Information Technology at GRIET, Hyderabad, India
January 11, 2030 - April 2, 2026Qualifications
Industry Experience
Healthcare, Software & Internet
Skills
Experience Level
Expert
Expert
Expert
Expert
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Expert
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Expert
Expert
Expert
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Intermediate
Intermediate
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