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Rakesh Surampalli

@rakeshsurampalli

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Senior AI engineer building secure, scalable Python backends, distributed data pipelines, and full-stack AI products.

United States

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What I'm looking for

I’m looking for a role where I can ship production AI and data platforms—building retrieval/LLM workflows, secure APIs, and scalable pipelines—while partnering with security and product teams to deliver measurable business impact.

I’m a Senior AI and Full Stack Engineer with 6+ years of experience building Python-based backend systems, scalable APIs, and data processing pipelines. I’m especially proud of turning raw, high-volume enterprise data into secure, production-ready workflows that teams can trust—end to end.

In my current role at CVS Health, I built an AI document intelligence pipeline (OCR → PHI/PII masking → LLM summaries) and designed domain-aware prompt engineering for highly unstructured healthcare documents. I also architected retrieval systems that combine semantic search and deep RAG, plus hybrid search using vector embeddings with PostgreSQL full text and metadata filtering for compliance-critical queries.

I bring a full-stack and platform mindset: I develop production-grade Django/FastAPI APIs and analytics dashboards for security and compliance workflows, and I deploy across Azure cloud and on-prem using Docker, Kubernetes, CI/CD (GitHub Actions), and Terraform. Across earlier roles, I consolidated and modeled multi-source data in Snowflake, built Tableau dashboards, and delivered IoT backend and real-time pipelines—so I can collaborate effectively across data, backend, and AI to ship measurable outcomes.

Experience

Work history, roles, and key accomplishments

Current

Senior AI & Full Stack Engineer

Current

CVS Health

Jun 2023 - Present (2 years 11 months)

Built a large-scale AI document intelligence pipeline (OCR → PHI/PII masking → LLM summaries) to improve secure data processing for high-volume healthcare datasets. Architected hybrid and multi-stage retrieval (semantic search + deep RAG) and deployed production Django/FastAPI APIs on Azure and on-prem using Docker, Kubernetes, CI/CD, and Terraform.

Django fastAPI LLM RAG Hybrid Search OpenAI Docker Kubernetes

Data Analytics Engineer

Copart

Jun 2022 - May 2023 (11 months)

Consolidated multi-source buyer, seller, and vendor data into Snowflake and built Python/SQL pipelines for ingestion, cleaning, and transformation of structured and semi-structured datasets. Developed Snowflake/MongoDB models and Tableau dashboards, applying predictive/prescriptive analytics to inform business strategy.

Python SQL Snowflake MongoDB ETL Data Modeling Tableau Predictive Analytics Dashboarding

Backend Developer

Toyama Home Automation

May 2019 - Jan 2021 (1 year 8 months)

Designed and implemented offline and cloud-connected IoT architectures for real-time smart home automation. Built Django/Node.js and Java-based REST APIs and real-time data pipelines, deploying AWS services to support low-latency, high-availability device communication and remote monitoring.

Django Node Java REST APIs AWS IoT Architecture Data Pipelines Sensor Integration High Availability

Sensing & Automation Lead

Project Manas

Oct 2016 - May 2019 (2 years 7 months)

Developed real-time sensor fusion pipelines using LiDAR, radar, and computer vision for autonomous systems, including GPU-accelerated object detection on NVIDIA platforms. Optimized multi-sensor data processing for low-latency inference and decision-making in autonomous navigation.

LiDAR RADAR Computer Vision Object Detection NVIDIA Sensor Fusion