Md Riyan Ahmed

Md Riyan Ahmed

Applied AI Developer

Hyderabad, India

About

Software developer passionate about AI, LLMs, and generative AI. I love experimenting with new technologies, building cool things, and learning along the way.

Skills
Python
Generative AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
AI Agents
LangChain
LangGraph
Model Context Protocol (MCP)
Prompt Engineering
FastAPI
Django
REST APIs
Machine Learning
Natural Language Processing (NLP)
Scikit-learn
TensorFlow
Hugging Face
Pandas
NumPy
FAISS
Vector Databases
Semantic Search
Azure OpenAI
Anthropic Claude
AWS
Microsoft Azure
Google Cloud Platform
Docker
Kubernetes
PostgreSQL
Redis
SQL
Celery
Serverless Architecture
Microservices
Workflow Automation
API Security
OAuth2
JWT
Git
Experience

Applied AI & Fullstack Engineer

Cognida.ai

Jan 2025 to Present
  • Develop and deploy AI-powered enterprise applications integrating LLMs, Retrieval-Augmented Generation (RAG), AI agents, and machine learning models.
  • Design scalable backend services, REST APIs, microservices, and serverless architectures using Python, Django, FastAPI, AWS, and Azure.
  • Implement secure authentication and authorization using OAuth2, JWT, SSO, RBAC, API key management, and rate limiting.
  • Build AI-driven solutions for expense anomaly detection, legal document automation, and intelligent workflow orchestration.
  • Work with LangChain, LangGraph, and Model Context Protocol (MCP) to build intelligent automation workflows and AI agent integrations.

SDE-1 Backend Engineer

Cognida.ai

Jul 2024 to Dec 2024
  • Develop and maintain backend services and REST APIs using Python and Django.
  • Build integrations between enterprise applications, databases, and third-party services.
  • Design reliable data processing workflows and backend components for enterprise applications.
  • Contribute to scalable system architecture, API security, debugging, and production deployments.
Projects

Enterprise Expense Anomaly Detection Platform

Built a production-grade ML system for validating 300,000+ financial records and monitoring ₹60M+ in reimbursements. Implemented Isolation Forest, Z-score, IQR, and rule-based anomaly detection, with asynchronous processing that reduced batch processing time by approximately 70%.

Python · Django · Scikit-learn · PostgreSQL · Redis · Celery · Azure

Intelligent Workflow & MCP Orchestration Platform

Building an AI-powered workflow automation platform with MCP integrations, enabling agents to use tools and execute multi-step tasks. Designing orchestration features including branching, error recovery, human-in-the-loop checkpoints, parallel execution, and streaming responses.

Python · LangGraph · MCP · AI Agents · REST APIs

LLM-Powered Lease Automation Platform

Developed an intelligent legal document processing system using LLMs for structured information extraction, with a RAG pipeline enabling semantic search and clause-level question answering. Automated lease-related financial logic and reduced processing workflows to under five minutes.

Python · LangChain · Azure OpenAI · FAISS · FastAPI
Education

B.Tech — CSM(AI&ML)

Guru Nanak Institutions Technical Campus, Hyderabad

Nov 2020 to Jun 2024
Certifications

Claude Certified Architect – Foundations

Anthropic

Jul 2026
DevFestHYDERABAD

Attendee · Oct 24, 2026

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