Software Development Engineer at Aptli AI, building ML-driven reconciliation and dispute intelligence systems for the hospitality industry. Previously at Kalvium (browser virtualization via V86/WebAssembly) and Zensible (healthcare AI for mental health professionals). Passionate about creating AI solutions that make a real-world impact across healthcare, language technologies, and cloud-native systems.
- 🔭 Currently building intelligent reconciliation systems and ML pipelines at Aptli AI
- 🧠 Deep expertise in Machine Learning, Browser Virtualization (V86/WASM), and Cloud Architecture
- 📄 Published IEEE paper on Deepfake Detection using Computer Vision
- 🌱 Exploring advanced LLM architectures and low-resource language models
- 👯 Open to collaborating on open-source AI and ML projects
- 🎓 B.Tech in Computer Science (Minor in IoT) at SRMIST, Chennai — CGPA: 9.21
- 💻 Try my CLI card:
npx saquib
Languages:
AI/ML:
Web Development:
Cloud & DevOps:
Databases:
Mobile Development:
| Role | Company | Period |
|---|---|---|
| ML & Web Dev Engineer | Aptli AI | Feb 2026 – Present |
| SDE (V86 Virtualization) | Kalvium | May 2025 – Feb 2026 |
| ML & Backend Engineer | Zensible | Nov 2024 – Feb 2025 |
| Mobile App Dev Intern | Dhobi G | Sep 2024 – Nov 2024 |
| Research Intern (Emotion Detection) | IISER Bhopal | May 2024 – Jul 2024 |
| Frontend Intern | Ministry of Education | Jun 2024 – Jul 2024 |
| CNN Architecture Intern | IIT Kanpur | Jun 2023 – Jul 2023 |
A comprehensive hospital management platform integrating AI for patient care including medical chat system, report analysis, and abnormality detection.
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- Medical AI chat system with symptom analysis
- Automated medical report analysis for blood tests and X-ray images
- Abnormality detection in medical imaging
- Responsive dashboard with vital signs monitoring
- Health assessment tools with predictive analytics
Real-time emotion detection system for video streams using face-api.js and hls.js, detecting seven emotions with visual feedback.
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- Detects neutral, happy, sad, angry, fearful, disgusted, and surprised emotions
- Visual feedback with colored bounding boxes
- Detailed emotion probability statistics
- Optimized for performance with configurable detection frequency
Multimodal emotion detection system analyzing both text content and voice patterns for comprehensive emotional intelligence.
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- Speech processing pipeline for tone, pitch, and vocal feature extraction
- NLP models for sentiment and emotion classification from text
- Real-time emotional intelligence feedback
- Built for mental health professional use cases
Building a large language model for Tamil from scratch, implementing custom tokenization and handling complex sandhi rules.
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- Custom tokenization for Tamil script
- Handling complex sandhi rules
- Specialized evaluation metrics for grammatical correctness
- Distributed computing on GPU clusters for efficient training
Browser-native LLM execution leveraging WebGPU and WASM for private, zero-server AI interactions.
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- Client-side inference with WebGPU acceleration
- Compressed model architecture for browser performance
- Privacy-focused with no data leaving the user's device
- Progressive loading for immediate user interaction
A novel automated model to detect real-time deepfakes using computer vision. Published in IEEE 2024.
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- Novel CNN architecture for deepfake detection
- Real-time video analysis with frame-level classification
- Published and peer-reviewed at IEEE conference
- High accuracy on benchmark datasets
Open-source library for EDA signal analysis on PyPI, implementing advanced signal processing techniques for psychophysiological data.
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- Published on PyPI:
pip install neurokit-eda-analysis - Advanced signal processing for psychophysiological data
- Comprehensive documentation and usage examples
- Supporting research in affective computing
🤖 AI Guard
Intelligent video surveillance with real-time anomaly detection via deep learning.
IoT-powered system for automated nutrient delivery and environmental optimization using Raspberry Pi.
- 🥈 ABINITO WINNER: Ranked 2nd in AI Hackathon
- 🏆 Vashisht Hackathon: Won IIITD Hackathon organized on Kaggle
- 🌎 ML OLYMPIAD: Ranked 13th Worldwide
- 🥈 CODE BATTLE: Ranked 2nd in EDA at SRMIST
- 📜 Certification: Artificial Intelligence and Machine Learning, University of Texas at Austin, 2024
- 💼 Head Technical Lead — Institute of Innovation and Entrepreneurship (IIE), SRMIST
- 🚀 Technical Lead — Tech Vayuna, SRMIST
- 👨💻 Technical Member — GDSC SRMIST
- 🤝 Technology Volunteer — Social Warrior NGO, Patna
- 🧠 Technical Advisor — Jansdell Bharathi NGO, Kolkata
