2026

NEAL DAFTARY

Computer Vision Research Full-Stack AI

ResearchComputer VisionFull-Stack AIResearchComputer VisionFull-Stack AI
About Me
Neal Daftary
🤖
🧠

Neal Daftary

Hello!

AI Enthusiast based in India, pursuing B.Tech in AI & ML at Nirma University. Experienced in developing end-to-end AI pipelines and deploying data-driven solutions — from computer vision systems to predictive maintenance platforms.

📧builtbyneal@gmail.com
📱+91-9106497430
🐙Neal006
🔗LinkedIn
Skills & Achievements

Tech Stack

🐍Python
🔥PyTorch
🧠TensorFlow
⚙️Machine Learning
🧬Deep Learning
👁️Computer Vision
💬NLP
Generative AI
📷OpenCV
Next.js
⚛️React
FastAPI
🐳Docker
☁️GCP
🔷Azure

Core Areas

Computer VisionDeep LearningResearchFull-StackLeadershipProblem Solving

Achievements

🏆 Winner (Aubergine Track) & Top 5 Finalist – HACKaMINeD National Hackathon 2026
🥉 4th National Rank – Mitsubishi Electric Cup
Experience

EXPERIENCE

June 2025 – Sept 2025

8x Sports

Computer Vision Engineer (Remote)

Developed visual search engine with YOLOv8 object detection, DINOv2 features, OpenCV texture analysis. Implemented FAISS for millisecond-latency semantic similarity search. Earned a Letter of Recommendation for high-impact technical execution.

Oct 2025 – Dec 2025

MZHUB Faithtech

Product Engineering Intern (Remote)

Led end-to-end product and technical research for AI-driven solutions (AI OCR, agentic AI, CX automation, knowledge-grounded chatbots). Built and optimized the website frontend for performance and SEO.

Jan 2026 – Present

Nirma University

Student Researcher (Hybrid)

Working under a project of Indian Space Research Organisation (ISRO). Developing AI system for automated detection, segmentation and morphometric analysis of lunar surface features using deep learning on Chandrayaan-2 imagery.

Projects

WORKS

Lumin.AI
AI / Predictive Maintenance

2026

Lumin.AI

AI-Powered Solar Inverter Predictive Maintenance Platform. Architected a 7-stage ETL pipeline, built hybrid Isolation Forest & XGBoost risk engine, deployed as FastAPI microservice with SHAP explainability.

PythonXGBoostFastAPISHAP
SpectraScan
Computer Vision

2026

SpectraScan

AI-Powered Defect Detection for Paint Inspection. Secured 4th National Rank at 6th Mitsubishi Electric Cup 2026. DINOv2/FPN-UNet segmentation with MLflow tracking and Optuna tuning.

DINOv2U-NetMLflowOptuna
MZHub.in
Web / Product Engineering

2025

MZHub.in

Built the enterprise-grade customer engagement platform for MZHub — an AI-powered spiritual technology platform for religious institutions worldwide. Led SEO optimization, design strategy, and engineered serverless contact automation using SMTP with Azure Cosmos DB.

SEOAzure Cosmos DBSMTPNext.js
CatBoost-Driven Anomaly Detection in Industrial Robotic Arms
Research

2025

CatBoost-Driven Anomaly Detection in Industrial Robotic Arms

published in IEEE Sensors Letters with 97.20% accuracy on 200K+ sensor samples.

CatBoostIEEEAnomaly Detection
Visual Search Engine
Computer Vision

2025

Visual Search Engine

Built visual search engine with YOLOv8 detection, DINOv2 feature extraction, and FAISS for millisecond-latency semantic similarity search at 8x Sports.

YOLOv8DINOv2FAISSOpenCV
Transaction Fraud Detection
AI / Full-Stack

2025

Transaction Fraud Detection

End-to-end fraud detection system leveraging Isolation Forest, Flask, Pandas, SQLAlchemy for real-time transaction analysis, intelligent risk scoring, and anomaly detection with interactive dashboards and JWT-based authentication.

FlaskSQLAlchemyIsolation ForestPandas
ChefX
AI / Full-Stack

2025

ChefX

Next-gen intelligent cooking assistant platform. Blends a massive global recipe database with smart appliance integration and dietary management, delivered via a slick multi-platform user experience.

FirebaseYouTube APIChatbotAI
Background

EDUCATION

Aug 2024 – May 2028

Institute Of Technology, Nirma University

B.Tech in Artificial Intelligence & Machine Learning

CGPA: 7.95 (till 3rd Sem)

LEADERSHIP

Sept 2025 – Present

Student Chairperson

Association of Computer Machinery (ACM) ITNU

Leading 200+ member technical community, organizing workshops and speaker sessions.

RESEARCH

IEEE Sensors Letters (2026)

CatBoost-Driven Anomaly Detection in Industrial Robotic Arms

Published a CatBoost anomaly detection framework for robotic arm fault detection achieving 97.20% accuracy and 0.9718 F1-score on 200K+ CASPER sensor samples, outperforming SSL and traditional ML baselines.

Get in Touch

LET'S WORK

TOGETHER

Got a project in mind? I'd love to hear about it. Let's build something amazing together.

Open to WorkAI/MLComputer VisionFull Stack
builtbyneal@gmail.com+91-9106497430GitHub: Neal006builtbyneal@gmail.com+91-9106497430GitHub: Neal006