Mohammad Asadulla Mulla

AI/ML Engineer · Generative AI · Python Development

Bengaluru, Karnataka, India

@asad_mulla

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🎓 Bachelor of Computer Applications (BCA) at Rani Channamma University · Graduating 2026

About

BCA graduate (2026) with hands-on experience building machine learning, generative AI, RAG, and full-stack applications. Skilled in Python, FastAPI, scikit-learn, embeddings, vector databases, LLM integrations, Docker, and GitHub Actions, with projects spanning real-time ML pipelines, anomaly detection, and multi-agent workflows.

Experience

Machine Learning Intern

Jyesta Corporate Entity

2026 – Present

Gained hands-on exposure to machine learning concepts, workflows, and guided real-world project development.

Education

Bachelor of Computer Applications (BCA)

Smt. Kumudben Darbar BBA & BCA College, Bijapur · Rani Channamma University

Computer Applications · 2023 – 2026
Pre-University Course (PUC)

SGMK PU College, Badami

Skills

<3 months

C SQL RAG NumPy Python Pandas LangChain LangGraph AI Agents JavaScript TypeScript Embeddings Regression Naive Bayes scikit-learn Random Forest Vector Search Decision Trees LLM Applications Isolation Forest Anomaly detection Prompt Engineering Multi-Agent Systems Sentence Transformers Support Vector Machine

Tools / apps / platforms

<3 months

Git n8n Groq Vite Docker Gemini GitHub SQLite Postman VS Code ChromaDB Supabase Google Colab ONNX Runtime GitHub Actions Amazon Web Services AWS

Projects

FloraScan

Python, TensorFlow/Keras, MobileNetV2, FastAPI, React, Docker

AI-powered plant disease detection system trained across 94 plant disease classes using a 41,000+ image combined dataset and deployed with FastAPI, React, and Docker.
Event Anomaly Detection Pipeline (SentinelStream)

Python, FastAPI, SQLite, React, Isolation Forest

Real-time server-monitoring dashboard combining Z-score statistics with Isolation Forest for anomaly detection and lower false-positive alerts.
DebateAI

LLMs, AI Agents, Multi-Agent Architecture, LangGraph, React, TypeScript

Multi-agent loan approval decision system with independent Risk, Growth, and Compliance agents plus a Judge agent to synthesize recommendations into a final decision.
TrafficSense

Python, Random Forest, React, TypeScript, Node.js, TomTom API, GitHub Actions

Automated traffic-data pipeline covering 150+ major roads across Bangalore using the TomTom Traffic API. Developed a Random Forest congestion-prediction workflow and a React dashboard for road-level monitoring and analytics.
DevDocs RAG

Python, FastAPI, RAG, ChromaDB, Sentence Transformers, React, LLMs, Docker

End-to-end RAG application using document ingestion, chunking, embeddings, semantic retrieval, and LLM response generation. Indexed 350+ documentation files into 1,700+ searchable chunks and added multi-provider LLM fallback with deployment optimized using ONNX Runtime and Docker.

Courses & certifications

Data Analyst 101 · Simplilearn SkillUp
Cyber Job Simulation · Deloitte
Technology Job Simulation · Deloitte
GenAI-Powered Data Analytics Job Simulation · Tata iQ

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