Syed Fouzan
Open to work0 years experienceAI Engineer
AI Engineer & Full-Stack Developer specializing in LLM & Agentic AI Systems.
Standing Rank
Rank Not Available
Developer Badges
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Skills & Technologies
39 skillsGitHub Activity Evidence
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Work Experience
Developer Trainee
Dhee Coding Lab (DCL)
- Completing structured, project-based training in HTML5, CSS3, and JavaScript (ES6+), delivering 5+ graded responsive UI components and layouts.
- Strengthened core Python (OOP, data structures, file I/O) through 40+ hours of applied exercises; using SQL (DDL/DML, joins) to design relational schemas while advancing into React.js and Python web frameworks.
Projects
Vizionary — AI Data Analytics Co-Pilot
- Architected an agentic AI pipeline with multi-step prompt chaining to interpret 500+ natural-language commands, cutting analytics turnaround time by 70% for non-technical users through zero-code data exploration.
- Built and deployed an LLM-powered ML-model recommender via Flask REST API, achieving 85% algorithm-selection accuracy across 10+ task types.
PhysioFlex — Real-Time Posture Analysis System
- Trained and validated a classifier on 5,000 labelled pose samples across 33 body landmarks, detecting incorrect exercise form with up to 90% accuracy; shipped live rep counting with real-time audio-visual feedback.
- Designed a SQL-backed analytics layer logging rep counts, form scores, and timestamps per session, enabling longitudinal user progress tracking.
- Co-authored and presented findings at an IEEE conference.
Air-Command — Touchless Gesture Control Interface
- Engineered a gesture-recognition model reaching 92% accuracy across 8 gesture classes on 2,000+ augmented samples; optimized inference to cut latency 180ms→117ms (35% faster) at a stable 30 FPS.
- Designed landmark distance-threshold filters that reduced false-positive triggers by 10% across varied lighting conditions.
Real-Time Object Detection System
- Fine-tuned YOLOv8 on 5,000+ images across 12 classes, achieving 89% mAP@0.5 at 25 FPS on CPU — validated for edge deployment.
- Applied mosaic, rotation, and flip augmentation strategies, improving precision by 15% over the unaugmented baseline.
Crypto-Predictor — LSTM Forecasting Engine
- Built an LSTM forecasting model on 3 years of historical data, achieving 82% directional accuracy and 12% MAPE on 30-day price forecasts.
- Engineered 15+ technical indicators (RSI, MACD, Bollinger Bands), lifting forecast accuracy by 28% over the baseline model.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
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AI Collaboration Score
AI Collaboration Score Pending
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Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
IEEE Published Author
IEEE Published Author — Presented “PhysioFlex: A Context-Aware Rehabilitation Framework” at the IEEE Conference on Knowledge Engineering and Communication Systems.
2nd Runner-Up
2nd Runner-Up — NMIT Hacks 2024 (200+ participants)
1st Prize
1st Prize — RLJIT Major Project Expo, AI/ML
1st Prize
1st Prize — RLJIT Mini Project Expo, AI/ML
Hackathon Mentor
Guided 100+ participants on AI/ML project builds
About Details
Professional Bio
AI Engineer and Full-Stack Developer who ships end-to-end intelligent systems — agentic LLM pipelines, real-time computer vision, and production web platforms. Published IEEE research author with a track record of delivering high-accuracy models and optimized performance.
B.E. Computer Science & Engineering — AI & ML in Computer Science & Engineering — AI & ML
R.L. Jalappa Institute of Technology, VTU (2022 - 2026)