Building Intelligent Systems for Real-World Impact
I build scalable AI-powered products, backend systems, and modern web applications that solve real-world problems.
Fishan Khan
AI Engineer • Full Stack Developer
IIIT Nagpur • B.Tech CSE
25+
valuable Projects
10+
AI Projects
354
LeetCode Problems
250
CodeChef Problems
I sit at the intersection of AI research and shipped software
I'm an AI Engineer and Full Stack Developer focused on building intelligent systems that solve real-world problems. My work spans machine learning, computer vision, backend engineering, and product development, with a strong emphasis on turning ideas into deployable solutions.
Through internships and independent projects, I've built end-to-end AI systems covering data collection, model development, API design, deployment, and monitoring. From computer vision and civic-tech platforms to mobile and web applications, I enjoy taking products from concept to production while balancing technical excellence with practical constraints.
Machine Learning & Computer Vision
Building AI systems using deep learning, computer vision, PyTorch, OpenCV, and modern ML frameworks for real-world applications.
Production AI Engineering
Developed and shipped AI/ML-powered production features, contributing across backend APIs, model integration, testing, deployment, and monitoring.
Full-Stack Product Development
Experienced in building end-to-end products across frontend, backend, databases, and cloud-ready architectures.
Research, Innovation & Civic-Tech
Working on large-scale AI and civic-tech systems including animal re-identification, intelligent monitoring platforms, and decision-support tools.
Systems built to leave the notebook and reach real users
A featured deployment-grade project, alongside a broader body of full-stack and applied AI work.
Smart Stray Dog Identification & Management System
Problem
Municipal authorities and animal welfare organizations often lack an efficient method to identify and track individual stray dogs across vaccination, sterilization, and rescue operations, resulting in fragmented records and operational inefficiencies.
Solution
Developed an AI-powered dog re-identification platform that combines computer vision, deep learning, and backend infrastructure to identify individual dogs from photographs, maintain digital profiles, and manage vaccination and sterilization records through a centralized system.
Impact
Provides a data-driven approach to managing stray dog welfare programs by improving record accuracy, reducing duplicate entries, and enabling efficient tracking of vaccination and sterilization activities.
- AI-powered dog re-identification from real-world images
- Detection, classification, and feature extraction pipeline
- Similarity-based matching across large dog profile databases
- Vaccination and sterilization history tracking
- Searchable profile management system
- Scalable architecture for municipal-scale deployments
Architecture
- 1
Image ingestion from field agents and public reporting channels
- 2
Dog detection and preprocessing using computer vision pipelines
- 3
Visual feature extraction and embedding generation
- 4
Similarity-based re-identification engine for profile matching
- 5
Centralized profile management for vaccination and sterilization records
- 6
Administrative dashboard for monitoring, analytics, and record management
GVP Monitoring System
Problem
Municipal authorities often struggle to efficiently monitor garbage-prone locations due to fragmented reporting channels, delayed response times, and limited visibility into field operations.
Solution
Designed and developed an AI-powered civic monitoring platform for Nagpur Municipal Corporation (NMC) that centralizes citizen complaints, streamlines waste-management workflows, and provides real-time operational visibility through geospatial analytics and role-based management tools.
Impact
Designed to improve municipal waste-management operations by reducing response times, increasing cleaning compliance, and enabling data-driven decision-making through centralized monitoring and analytics.
- AI-assisted monitoring of garbage-prone locations
- Multi-channel citizen reporting platform
- Role-based task assignment and workflow management
- Interactive geospatial dashboards and map visualizations
- Ward-level analytics and operational performance tracking
- Data-driven resource allocation and decision support
Architecture
- 1
Multi-channel complaint ingestion from web, mobile, SMS, and call-based reports
- 2
Centralized issue management and workflow orchestration
- 3
Role-based access system for administrators, officers, and field workers
- 4
Geospatial monitoring and location intelligence layer
- 5
Analytics engine for performance tracking and operational insights
From Research to Production Engineering
A timeline of how the development and AI tracks converged into one practice.
- Internship16 Jan 2026 — present
Intern Engineer (Full-Time)
NCAMEO Inc. (USA)
Built and deployed AI-powered production features across backend APIs, model integration, testing, and release workflows while collaborating with cross-functional engineering teams under aggressive delivery timelines.
- Internship1 Apr 2025 — 30 May 2025
Software Development Intern and Project Co-Lead (Part-Time)
Bluestock Fintech
Co-led development of a fintech web application for portfolio and transaction management, contributing across frontend and backend systems using Node.js, Django, JavaScript, HTML, and CSS while delivering features in an agile team environment.
- Projects2024 — Present
AI & Product Development
Independent Projects
Designed and built 25+ valuable projects spanning AI systems, computer vision, mobile applications, AR/VR experiences, civic-tech platforms, computer graphics, and full-stack products. Projects include animal re-identification systems, geospatial monitoring platforms, learning optimization systems, location-aware communication tools, and interactive 4D visualization engines.
- Education Aug 2023 — present
B.Tech in Computer Science
Indian Institute of Information Technology, Nagpur
Focused on machine learning, computer vision, software engineering, and distributed systems through coursework and hands-on engineering projects.
A toolkit built for both research and production
From training a model to shipping the interface around it — the stack stays consistent end to end.
Artificial Intelligence & Machine Learning
Building, training, evaluating, and deploying intelligent systems.
Backend Engineering
Developing scalable APIs and data infrastructure for production systems.
Programming
Core languages used for software and AI development.
Cloud & DevOps
Deployment, containerization, and development workflows.
Building, learning, and shipping consistently
Professional experience, technical projects, competitive programming, and continuous learning across AI and software engineering.
25+
Projects Built
Developed projects across AI, computer vision, AR/VR, mobile applications, games, and full-stack systems.
10+
AI Projects
Built computer vision, machine learning, civic-tech, mobile, and full-stack systems.
2
Industry Experience
Internships spanning AI/ML engineering and full-stack software development.
2
Patent Pipeline
Preparing patent filings for original AI-driven systems and intellectual property.
CodeChef Profile
@kingfishan7861567
Current Rating
1706
Highest Rating
250
Problems Solved
Div 3
Division
GitHub Activity
Contribution consistency over the last month
500
Contributions (Last Year)
Structured learning behind the self-directed projects
Continuous learning through certifications in AI, cloud computing, DevOps, and applied machine learning.
Fundamentals of Accelerated Computing with CUDA Python
NVIDIA Deep Learning Institute
Why Hire Me
A quick read on what I bring to a team from day one.
Production AI Experience
Contributed to AI/ML-powered production features, working across model integration, backend systems, testing, and deployment.
AI & Computer Vision Expertise
Built intelligent systems using deep learning, computer vision, object detection, and re-identification techniques for real-world applications.
End-to-End Product Development
Comfortable taking products from idea and architecture through implementation, deployment, and iteration.
Full-Stack Engineering Skills
Experienced building scalable applications across frontend, backend, databases, and AI components.
Real-World Problem Solving
Focused on solving practical challenges in civic technology, public welfare, monitoring systems, and intelligent automation.
Rapid Learning & Adaptability
Quickly learns new technologies, frameworks, and research concepts to deliver solutions in fast-moving environments.
Resume & Professional Summary
A concise overview of experience, projects, technical skills, and engineering contributions.
- • 25+ Projects Built
- • 10+ AI & ML Projects
- • AI Engineering Intern at NCAMEO
- • 354 LeetCode Problems Solved
- • 250 CodeChef Problems Solved
Fishan Khan — Resume
AI Engineer focused on machine learning, computer vision, and full-stack product development.
Download ResumeLet's Build Something Impactful
Open to AI/ML engineering roles, software engineering opportunities, research collaborations, and ambitious technical projects.