Hello, I'm Ahamed Afzal M S
AI Engineer
Helping businesses adopt scalable AI solutions that improve operational efficiency and decision-making.
About Me & Skills
I am a Generative AI Engineer with hands-on experience in PyTorch, Hugging Face, LLaMA, LangChain, AWS, and Docker. My focus lies in AI-driven automation and integrating intelligent systems into enterprise workflows.
AI & LLM Systems
Agentic AI, Multi-Agent Workflows, RAG, Prompt Engineering, Semantic Search
Frameworks & Tools
LangChain, LangGraph, Hugging Face Transformers, Chroma, MCP
Machine Learning
Deep Learning, Neural Networks, CNNs, Pandas, NumPy, Scikit-learn
Backend & Cloud
Python, SQL, Flask, FastAPI, AWS (EC2, S3), Docker, PostgreSQL
AI & Agentic Workflow Solutions
Helping businesses integrate practical AI solutions and intelligent automation into existing workflows.
Building production-ready AI systems focused on engineering, deployment, and measurable business impact.
- Agentic AI & Automation Pipelines: Streamline complex operations and drastically reduce manual work with intelligent agents that execute tasks autonomously.
- Enterprise RAG & AI Assistants: Build secure, context-aware LLM copilots and domain-specific chatbots that interact intelligently with your internal knowledge bases.
- API Integrations & Custom AI Plugins: Develop scalable backend architectures and custom plugin models to connect AI seamlessly to your existing tools and platforms.
Experience
AI/ML Engineer (R&D)
IMMCO Inc / SGES | Kochi, Kerala
- Deployed production-grade CV and Gen AI pipelines using PyTorch and Hugging Face on AWS, cutting latency by ~30%.
- Designed and deployed RAG-based AI systems using semantic retrieval and vector databases.
- Built LLM-powered applications using LLaMA integrating vector search and internal APIs for agent-like task execution.
- Led a 30+ member data labelling team for claim validation.
Data Science Intern
LUMINAR TECHNOLAB | Kochi, Kerala
- Performed data cleaning, EDA, and feature engineering across structured datasets.
- Built and evaluated regression and classification models to identify trends.
- Implemented and benchmarked ML models using Python and Scikit-learn.
Featured Projects
Agentic AI Workflow System
Enterprise Knowledge & Task Automation
Problem: Delays retrieving information and executing repetitive tasks.
Solution: Built a multi-step agentic RAG system with query understanding, semantic retrieval, reasoning, and response generation using LangChain and LangGraph. Integrated intent classification logic to dynamically route queries between Chroma vector search and internal API-based task execution.
Deep Learning | Claim Validation
Automated Computer Vision Pipeline
Problem: Manual validation of worker claims was time-consuming and error-prone.
Solution: Architected an end-to-end computer vision system using CNN-based object detection models. Deployed as a scalable REST API using Flask and Docker. Reduced manual processing time from 300+ hours to under 3 hours.
Education & Certifications
Education
BTech Computer Science and Engineering
Jawaharlal College of Engineering and
Technology (2019-2023) | CGPA: 8.62
Higher Secondary
Bharathamatha Higher Secondary School (2017-2019) | 93%
Certifications
- Python Machine Learning and Data Science (Luminar Technolab)
- Python for Data Science (IBM)
- Deep Learning Essentials (IBM)
- Foundational AI Building from Scratch (Convai Innovations)
- LangChain Essentials – Python (LangChain Academy)
Ready to elevate your business with AI?
Feel free to reach out for a meeting, freelance opportunities, or full-time roles.