Available for AI/ML projects

AI that finds answers.
Vision that understands motion.

Hello, I am Syed Usman, an AI/ML Engineer and Full-Stack Developer from Bangalore, building assistants and computer vision products that make useful decisions easier.

Making intelligent systems
practical to use.

Same technical depth, translated into outcomes your team can actually act on.

Conversational AI

Assistants built for the kind of answer you need.

Guided rule-based bots, meaning-aware semantic search, natural LLM assistants, database questions with Text-to-SQL, and document-grounded answers with RAG.

Customer SupportInternal KnowledgeAnalytics

Computer Vision

Video into measurable events.

Detection, tracking, pose estimation, fatigue signals, and movement analysis.

Structured Data

Ask a business question. Get a chart-ready answer.

Text-to-SQL analytics for teams who need insight without writing queries.

Unstructured Data

Make reports and documents searchable.

RAG-based assistants that retrieve evidence before they answer.

Work that moves
from model to product.

Projects across safety, enterprise workflows, education, sport, and analytics.

01

Industry Client Project | E2E Rosh IT Solutions

Industrial Safety Vision Platform

Built computer vision modules for safety monitoring in an industrial environment: driver fatigue detection, worker proximity monitoring, oil leak detection, and pose-based fall alerts.

Computer VisionMediaPipePose EstimationFastAPI
02

Full-Stack LLM | RAG & Text-to-SQL | Live Demo

Enterprise Knowledge & Analytics Copilot

A production-ready assistant merging document-grounded RAG with automated Text-to-SQL analytics. Uses intelligent query routing to direct prompts to vector stores or relational databases, returning dynamic business visualizations and structured execution details.

RAGText-to-SQLFastAPILangChainpgvectorSupabaseReactTypeScript
03

Python | Frappe | LLM | RAG

ERP Internal Chatbot

Plain-English HR, inventory, and finance queries inside ERPNext, designed within sandbox constraints.

04

Python | SQL Server | LLM

Adventure Works SQL Chatbot

Text-to-SQL assistant producing multi-table analytics and visual reports without manual SQL.

05

RAG | Node.js | MongoDB

VTU Academic Chatbot

Syllabus-specific assistant with notes retrieval, authentication, uploads, and moderation.

06

Flutter | TensorFlow Lite | MoveNet

ScoutX Sports Analysis

Mobile pose-analysis app for rep counting, form feedback, and sports performance assessment.

Computer Vision + Chatbot Intelligence

Football Match
Analytics Copilot

A portfolio concept combining my computer vision and assistant work: upload footage, detect players and the ball, track movement and velocity, then ask questions about the match in plain English.

"Which player had the fastest transition?" "Show movement before the winning goal." "Summarise the pressing pattern."
Detect Track Analyse Ask

An engineer interested in what models do after training.

I build across machine learning and product development: from pose estimation and real-time APIs to RAG pipelines and web experiences. I am currently completing my B.E. in Artificial Intelligence & Machine Learning at T John Institute of Technology.

Experience

AI/ML Intern

E2E Rosh IT Solutions

January 2026 - Present

Education

B.E. Artificial Intelligence & ML

T John Institute of Technology

2022 - 2026 | CGPA: 8.0 / 10

Certifications

  • Data Structures & Algorithms - NPTEL
  • NLP Fundamentals - Infosys Springboard
  • Machine Learning with Python - Innomatics Research Labs

Open To Work | Freelance Projects

From an idea to an intelligent product.
Let us make it useful.

I am available for AI/ML roles and projects involving assistants, data, or computer vision.