AVAILABLE FOR AI / ML ROLES

BENGALURU · INDIA

AI / ML ENGINEER · FULL STACK DEVELOPER

Engineering
AI that ships.

I build intelligent, scalable and production-ready applications across Agentic AI, Hybrid RAG, LLMs, automation and full-stack engineering.

View my work ↗ Download résumé ↓

CURRENT FOCUS

Intelligent systems

Agentic AI · Hybrid RAG · LLM applications · FastAPI · LangGraph

AGENTS RAG APIs CLOUD

Building systems, not demos.

Scroll to explore

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9.43 B.E. CGPA

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~90% Validation time reduced

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30+ REST APIs engineered

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15K+ Documents in RAG corpus

About me

WHO I AM

I build at the intersection of AI intelligence and software engineering.

My work spans the path from intelligent models to usable engineering systems — combining machine learning, generative AI, retrieval, APIs and automation into practical applications.

Intelligent systems Agentic AI · LLMs · Hybrid RAG

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Engineering systems APIs · Databases · Docker · Cloud

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Applied AI Machine Learning · NLP · Computer Vision

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Mohammed Aftab Ahamed AI / ML Engineer

ENGINEERING PROFILE

Hands-on industry experience at Nokia developing Python automation solutions, alongside AI projects across Agentic AI, Hybrid RAG, LLMs, computer vision and machine learning.

Degree B.E. Artificial Intelligence & Machine Learning

College New Horizon College of Engineering

Graduation 2026

CGPA 9.43 / 10

BENGALURU · INDIA AI / ML · FULL STACK

Experience

01 YEAR

AUG 2025 — JUL 2026

IMPACT

Reduced validation time by ~90% by automating document processing and QA workflows used by multiple engineering teams.

ROLE

Python Automation · AI / ML · Engineering

~90% validation time reduced

500+ pages processed

<60s workflow execution

3+ R&D / QA teams

Developed Python automation workflows that significantly reduced manual validation effort.

Processed 500+ pages through automated document and validation pipelines.

Engineered workflows capable of completing execution in under 60 seconds.

Supported engineering workflows used by multiple R&D and QA teams.

Selected projects

AI systems and full-stack applications built around real engineering problems — from cybersecurity and retrieval to intelligent job automation and computer vision.

01 AGENTIC AI · CYBERSECURITY Live demo ↗

CyberShield AI

Full-stack AI-powered cyber threat intelligence platform combining Agentic AI, Hybrid RAG, machine learning and production APIs.

THREAT SOURCES 15K+ documents

RETRIEVAL Hybrid RAG

ANALYSIS Agentic AI

PROBLEM

Threat signals spread across large document sets.

BUILD

Hybrid retrieval paired with agentic analysis and APIs.

OUTCOME

90% retrieval accuracy and 75% less triage effort.

Agentic AI Hybrid RAG

LangGraph

FastAPI

React

PostgreSQL

90% retrieval accuracy

95% detection accuracy

75% triage reduction

02 MULTI-AGENT · JOB INTELLIGENCE ↗

AI Job Application Copilot

Multi-agent job intelligence platform designed to automate job discovery, analysis, matching and application workflows.

LangGraph Hybrid RAG

XGBoost

FastAPI LLMs

92% retrieval accuracy

88% matching accuracy

<2s response time

03 COMPUTER VISION · OCR ↗

AI Attendance System

Computer-vision attendance system combining face recognition and OCR to automate identity verification and attendance workflows.

OpenCV

DeepFace Tesseract OCR

Python Computer Vision

95% face recognition

98% OCR accuracy

80% manual errors reduced

Skills

PYTHON ✦ PYTORCH ✦ LANGGRAPH ✦ RAG ✦ LLMs ✦ FASTAPI ✦ DOCKER ✦ AWS ✦ POSTGRESQL ✦ PYTHON ✦ PYTORCH ✦ LANGGRAPH ✦ RAG ✦ LLMs ✦ FASTAPI ✦ DOCKER ✦ AWS ✦ POSTGRESQL ✦

01 ⌘

CORE

Programming

Building reliable software foundations with clean, maintainable code.

Python SQL

02 ◎

INTELLIGENCE

AI / ML

Developing practical machine learning systems across structured, language and vision problems.

Scikit-learn TensorFlow PyTorch NumPy Pandas NLP Computer Vision XGBoost

03 ✦

GENERATIVE

Generative AI

Designing intelligent applications around LLMs, agents, retrieval and orchestration.

LLMs Agentic AI LangGraph LangChain Prompt Engineering RAG

04 ◈

ENGINEERING

Backend & Cloud

Turning AI capabilities into scalable services, APIs and deployable engineering systems.

FastAPI REST APIs PostgreSQL Docker Kubernetes AWS Git / GitHub

05 ◇

INTERFACE

Frontend

Creating responsive interfaces that make complex systems easy to use.

React Tailwind CSS

06 ✓

LEARNING

Certifications

Continuous learning across software engineering, data and machine learning.

NPTEL Computer Networks and Internet Protocols

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IBM SkillsBuild Data Fundamentals

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MLOps Workshop Kaushalya Technical Training

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Beyond engineering

THE OTHER SIDE

Discipline outside code. Perspective inside it.

Engineering is only one part of how I work. Competitive sport, problem solving and leadership have shaped the discipline, persistence and focus I bring into technical work.

01 ◈

SPEEDSOLVING