Hi, I'm
Sai Subrahmanyam
Mahadasa
5+ years building AI-powered full stack systems across financial analytics, healthcare, and enterprise platforms. Core stack is Python, Django, and FastAPI for backend services, with LangGraph, LangChain, and AWS Bedrock for Gen AI and RAG pipelines.
Deliver production-grade AI features end-to-end, from agentic workflows and vector retrieval on the backend to React.js + TypeScript frontends, deployed on AWS with Kubernetes and GitLab CI/CD.
About Me
Senior Full Stack AI Engineer
Primarily a Python and AI engineer, building scalable REST and GraphQL APIs with Django and FastAPI, and designing production-grade Gen AI systems using LangGraph, LangChain, and AWS Bedrock. Experienced with RAG pipelines, agentic workflows, vector embeddings, and multi-step document retrieval for real enterprise use cases. Backed by PostgreSQL, Redis, Docker, and Kubernetes on AWS.
On the frontend, deliver full stack features end-to-end using React.js, Next.js, and TypeScript with Redux Toolkit and RTK Query for data-intensive dashboards, multi-step workflows, and role-based UIs that connect directly to AI-powered backends. Test coverage across pytest, Jest, and React Testing Library across the entire stack.
Full Stack Expertise
Frontend to Backend, Cloud to AI
Professional Strengths
Full Stack Delivery
React + Python across 3 companies
Gen AI & RAG Systems
LangGraph, AWS Bedrock, LangChain
Enterprise Security
RBAC, JWT/OAuth, audit logging
Cloud & DevOps
AWS, Kubernetes, GitLab CI/CD
Technology Stack
Python
FastAPI
Django
Gen AI / LLM
AWS
Docker
React.js
Next.js
TypeScript
PostgreSQL
Redis
Node.js
Certifications & Awards
AWS Certified Solutions Architect
Amazon Web Services, 2021
NVIDIA AI RAG Developer Contest Winner
Generative AI Application, 2024
AWS Certified Generative AI Engineer Associate
Amazon Web Services, 2026
Currently at Perky, Client: Lincoln Financial Group
Building full stack features for a financial analytics platform using React, TypeScript, Python Django, and GraphQL across 25+ data-intensive dashboards. Managing Kubernetes on AWS EKS with 99.9% uptime across services handling 20K+ records per request. Engineered Python REST APIs with RBAC, JWT/OAuth, and audit logging. Automated GitLab CI/CD with Docker and AWS, cutting release cycles by 40%.
Outside of Work
I maintain a curious mindset through continuous learning, currently exploring history and philosophy while learning guitar. I enjoy photography, cricket, and watching films. This diverse range of interests helps me bring fresh perspectives to problem-solving and team collaboration.
My projects
HR Management Platform
Enterprise HR benefits platform built for Lincoln Financial Group where employees and managers handle leave balances, be...
Technologies Used
AI Leave Policy Assistant
Conversational AI assistant built for Lincoln Financial Group's HR workflows that answers leave-policy questions using r...
Technologies Used
Financial Analytics Platform
Real-time financial analytics platform built for ICICI Home Finance to monitor loan portfolio performance across 25+ das...
Technologies Used
Medicine E-Commerce Platform
Online medicine platform where customers browse, search, and purchase medicines with real-time inventory tracking and se...
Technologies Used
Technical Expertise
- React.js
- Next.js
- TypeScript
- JavaScript (ES6+)
- Redux Toolkit
- RTK Query
- React Hooks
- Context API
- Tailwind CSS
- HTML5
- CSS3
- WCAG 2.1 Accessibility
- Responsive Design
- Python
- Django
- Node.js
- FastAPI
- REST APIs
- GraphQL
- JWT Authentication
- RBAC
- Kafka
- LangChain
- LangGraph
- RAG
- Agentic AI
- MCP
- AWS Bedrock
- OpenAI
- PostgreSQL
- Redis
- MySQL
- Jest
- React Testing Library
- pytest
- Integration Testing
- Unit Testing
- Docker
- Kubernetes
- AWS
- GitLab CI/CD
- GitHub Actions
- Terraform
- Git
- Structured Logging
My Career Journey
Bachelor of Engineering, Computer Engineering
Graduated with a GPA of 3.58/4.00, building a solid foundation in software engineering, data structures, and full stack web development that shaped my approach to building systems from the ground up.
Software Developer
Configured GitHub Actions CI/CD pipelines with Docker containerization and Datadog APM instrumentation for Apollo Hospitals' healthcare platform, cutting deployment time by 40% and improving production incident visibility across environments. Engineered an event-driven notification queue system with RBAC that enabled role-based alert routing across automated workflows. Built React and TypeScript UI modules for staff-facing screens, applying debouncing, throttling, and component-level profiling to improve screen responsiveness by 20%.
Software Developer
Engineered RESTful and GraphQL APIs using Python Django secured with OAuth 2.0, powering financial analytics dashboards for ICICI Home Finance's loan portfolio platform. Containerized the full stack with multi-stage Docker builds across development, staging, and production environments, cutting mean deployment time from 6 hours to under 45 minutes. Optimized PostgreSQL execution plans and Redis cache strategies, improving platform performance by 35% and reducing dashboard load from 8 seconds to 2 seconds. Enforced TDD with pytest across API contracts, ORM queries, and serializers to maintain high test coverage.
Senior AI Engineer
Built end-to-end full stack features for Lincoln Financial Group's financial analytics platform using React, TypeScript, Python Django, and GraphQL, delivering 25+ data-intensive dashboards with complex filtering, drilldown navigation, and real-time aggregations. Managed Kubernetes deployments on AWS EKS with rolling updates, pod autoscaling, and health probes, maintaining 99.9% uptime across containerized services handling 20K+ records per request. Engineered Python REST API services with RBAC, JWT/OAuth enforcement, and audit logging for enterprise API governance. Containerized with Docker, deployed to AWS, and automated GitLab CI/CD pipelines achieving 40% faster release cycles. Leveraged GitHub Copilot and Claude AI to accelerate feature delivery while consistently reviewing and refining AI-generated code.
Master of Science, Computer Science
Completed graduate study focused on advanced algorithms, machine learning, and AI systems with a strong academic record (GPA 3.63/4.00).