MOHAMMED ARSHAD HUSSAINAI / ML ENGINEER
ARSHAD Engineering intelligence.
Generative AI · LLMs · RAG · Backend scroll to explore ↓ SELECTED ENGINEERING / 01—05 Works05 All AI / RAG Full stack ML
ARSHAD / ENGINEERING 01
AI Coach Agent
01 Learning signal
↓ 02 Context retrieval
↓ 03 Coaching response
RAG / CONTEXT PIPELINE ↗
GENERATIVE AI / RAG
Context-aware coaching that turns learning signals into relevant, grounded interventions.
FastAPI LangChain Groq pgvector Redis
Confusion & repeated-question detection Retrieval-grounded coaching responses Vector search with Nomic embeddings ARSHAD / ENGINEERING 02
Resume Intelligence
01 PDF / DOCX / TXT
↓ 02 Structured LLM analysis
↓ 03 Candidate insights
DOCUMENTS → STRUCTURED INSIGHTS ↗
GENERATIVE AI / LLM APPLICATION
LLM-powered recruitment analytics for comparing multiple resumes against job requirements.
LangChain Groq Pydantic Streamlit Plotly
PDF, DOCX & TXT document processing Structured LLM outputs & parallel analysis Interactive candidate comparisons ARSHAD / ENGINEERING 03
TaskFlow
01 React application
↓ 02 REST + GraphQL
↓ 03 Django · SQLite
AUTHENTICATED APPLICATION ARCHITECTURE ↗
FULL STACK / BACKEND ENGINEERING
A task and project platform with authenticated workflows, dual API interfaces and automated testing.
React Django REST JWT GraphQL GitHub Actions
JWT authentication & automatic token refresh REST & GraphQL APIs with Swagger docs Backend and frontend tests with CI ARSHAD / ENGINEERING 04
Employee Platform
01 React frontend
↓ 02 Django REST API
↓ 03 Modular HR domains
BUSINESS-DOMAIN ARCHITECTURE ↗
FULL STACK / ENTERPRISE APPLICATION
A modular employee-management platform spanning employee records and HR-oriented workflows.
React Django REST REST APIs Authentication
Separate frontend & backend applications Modular HR-oriented backend domains Authentication & permissions layer ARSHAD / ENGINEERING 05
Real-Time Feedback
01 Video frames
↓ 02 CNN classification
↓ 03 Learning feedback
COMPUTER-VISION PIPELINE ↗
MACHINE LEARNING / COMPUTER VISION
CNN-based video analysis to support human-performance assessment in collaborative learning.
Python CNN Machine Learning Computer Vision
Video-input behavior analysis CNN action / behavior classification B.Tech major project ABOUT 01 / THE ENGINEER
Intelligence,real world. ARSHAD HUSSAIN / HYDERABAD I’m an AI/ML Engineer building practical intelligent applications.
My work connects machine learning, Generative AI and retrieval pipelines with APIs, databases and the interfaces people use. I enjoy the whole journey—from model logic to a working product.
Download my résumé ↓ JOURNEY 02 / LEARNING THROUGH BUILDING
2025 B.Tech, CMRCET CMR College of Engineering & Technology, Hyderabad. Academic work included CNN-based video analysis for collaborative-learning feedback.
APPLIED AI Projects. Experiments. A 24-hour hackathon. Machine learning and LLM application development, including recruitment analytics connected to a hackathon at Innomatics Research Labs.
6-MONTH INTERNSHIP From experimentation to engineering. Practical AI workflows, Python development and API integration. Building with agents, LLMs and Retrieval-Augmented Generation.
CURRENT AI/ML Engineer Trainee, arcofintech Full-time role following the internship. Focused on AI agents, LangChain, LLM applications, RAG and AI pipeline development.
APPROACH 03 / CONNECTING THE LAYERS
Think in models.systems. Good AI reaches beyond the model.
AI / ML → LLM / RAG → API → DATA → APPLICATION
EXPERTISE 04 / TOOLS OF THE PRACTICE
From intelligence AI & Machine Learning Machine Learning · Deep Learning · CNN · Computer Vision · NLP · Generative AI · LLMs · RAG · AI Agents
AI Engineering LangChain · Groq · Nomic Embeddings · Vector Search · Prompt Engineering · Pydantic
Programming & Data Python · SQL · NumPy · Pandas · Scikit-learn · XGBoost
Backend Engineering FastAPI · Django · Django REST Framework · REST APIs · GraphQL · JWT · Swagger / OpenAPI
Frontend React · Vite · JavaScript · HTML · CSS
Data & Infrastructure PostgreSQL · pgvector · MySQL · SQLite · Redis · Neo4j
Tools Git · GitHub · Postman · GitHub Actions · VS Code · Docker
Analytics Power BI · Matplotlib · Plotly · Streamlit
ADDITIONAL ENGINEERING WORK CONTEXT-AWARE LEARNING
AI Coach Agent. A RAG system that recognizes confusion and repeated questions, retrieves relevant context, and delivers contextual coaching.
Explore the architecture ↗ 
ARSHAD HUSSAIN / HYDERABAD