Available for opportunities

Hi, I'm Sai Sumanth
Reddy Kachi

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AI Engineer with 3+ years of experience building production LLM systems. Experienced in RAG pipelines, multi-agent orchestration, and MCP-based AI integration across healthcare and enterprise platforms.

Sai Sumanth Reddy Kachi
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About Me

Get to know me a little better

I'm a passionate AI Engineer & Full-Stack Developer currently pursuing my Master's in Information Systems at the University of Maryland, Baltimore County. With 3+ years of experience building production LLM systems, I specialize in RAG pipelines, multi-agent orchestration, and AI integration.

My journey spans from architecting multi-agent SDLC frameworks with 8 specialized AI agents to building MCP AI agents with Claude Sonnet 4.6 (Amazon Bedrock) for healthcare portals. I thrive at the intersection of AI engineering and full-stack development, shipping AI features at scale.

When I'm not building AI systems, you'll find me exploring the latest in LLM research, contributing to agent frameworks, or optimizing RAG pipelines for better performance.

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Work Experience

My professional journey so far

Software Engineer Intern

Minnodi LLC
Nov 2025 – Present Baltimore, MD
  • Built MCP AI agents leveraging Claude Sonnet 4.6 (Amazon Bedrock) for a healthcare portal, analyzing 500+ patient histories, generating pre-consultation summaries, and a GitHub Assistant for commit summarization.
  • Implemented 10 RESTful APIs for document workflows, patient records, and appointment scheduling with role-based access control across 4 user roles, cutting 20+ hours of weekly administrative workload.
  • Designed normalized database schema with optimized indexing and relational queries, reducing data retrieval latency by 35% while supporting 1,000+ active records.
Claude Sonnet 4.6 Amazon Bedrock MCP Express.js Supabase Healthcare

Software Development Engineer

RSM US LLP
Aug 2022 – Jun 2024 Bangalore, India
  • Led end-to-end design and Azure-hosted deployment of Enterprise Mobility Solution (React.js, Node.js, Express.js) within an Agile/Scrum framework, automating 95% of scheduling workflows for 5,000+ employees, saving 80+ admin hours monthly and earning the "Shining Star" award.
  • Optimized system performance across 10 enterprise applications through configuration improvements and code refactoring, reducing latency by 30%.
  • Engineered multi-functional API system with role-based access across 10 permission levels, serving 2,000+ users and 10 teams across the enterprise, improving cross-team development efficiency by 30%.
React.js Node.js Express.js Azure Agile/Scrum

Programmer Analyst

Cognizant Technology Solutions
Mar 2022 – Jul 2022 Bangalore, India
  • Developed 20+ reusable application components with TypeScript following established coding standards, reducing development time by 40% and supporting consistent enterprise application architecture.
  • Designed efficient database models and implemented indexing strategies, reducing query execution time by 40% and enhancing backend scalability for high-traffic enterprise operations.
React.js TypeScript Node.js Database Design

Featured Projects

Check out some of my recent work

Featured

Kernel: AI-Native SDLC Framework

Architected a multi-agent SDLC runtime that orchestrates 8 specialized AI agents (PM, BA, Architect, Developer, QA, Security, DevOps) across 3 phase-gated workflows, enforcing mandatory deliverables and human approval gates before each phase transition.

Multi-Agent Orchestration Claude API SDLC Design Python
  • 8 specialized AI agents across PM, BA, Architect, Developer, QA, Security, DevOps roles
  • 3 phase-gated workflows with mandatory human approval gates

Invenio: AI-Powered Job Discovery

Built a full-stack job discovery platform using Claude Code with vibe coding and context engineering workflows, featuring intelligent multi-ATS scraping, real-time alerts and role-based filtering, currently serving 20+ users.

React.js Node.js Express.js AWS Supabase Gemini
  • Serving 20+ users with intelligent multi-ATS scraping
  • Real-time alerts and role-based filtering

We Zaap: AI Interview Simulator

Developed the frontend for an AI-powered interview simulator supporting 10 job roles, implementing lazy loading and RAG-based context retrieval for role-specific questions, currently serving 50+ students.

React.js FastAPI RAG PostgreSQL LLMs
  • Supporting 10 job roles with RAG-powered role-specific questions
  • Serving 50+ students with lazy loading for performance

Technical Skills

My expertise across various technologies and tools

Python Python
JavaScript JavaScript
TypeScript TypeScript
HTML5 HTML5
CSS3 CSS3
C C
C++ C++
React React.js
Next.js Next.js
Node.js Node.js
Express.js Express.js
NestJS NestJS
FastAPI FastAPI
.NET .NET
LangChain
n8n
MySQL MySQL
PostgreSQL PostgreSQL
MongoDB MongoDB
Firebase Firebase
Oracle Oracle
Redis Redis
Supabase
AWS AWS
Azure Azure
GCP GCP
Docker Docker
Kubernetes Kubernetes
Jenkins Jenkins
Git Git
GitHub GitHub
LLMs
RAG Pipelines
Multi-Agent Orchestration
Prompt Engineering
MCP
Claude API
Amazon Bedrock Amazon Bedrock
Vector DBs
LangChain
Azure AI Azure OpenAI
REST APIs
Microservices
System Design
Context Window Mgmt
Caching
API Security
Agile/Scrum
CI/CD Pipelines

My Education

Academic background and qualifications

Master of Science

Information Systems

University of Maryland, Baltimore County

Baltimore, MD Expected May 2026
GPA 3.85
Relevant Coursework: Artificial Intelligence, Natural Language Processing, Data Structures & Algorithms, Cloud Computing, System Design

Bachelor of Science

Computer Science

Dayananda Sagar Institutions

Bangalore, India Aug 2018 – Jul 2022
GPA 3.77

Let's Connect

I'm always open to new opportunities and conversations

I'm currently open to new opportunities and would love to hear from you. Whether you have a question, a project idea, or just want to say hello, my inbox is always open!

Say Hello