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T.Y. B.TECH AI & ML • ZEAL COLLEGE (SPPU) • CGPA 8.45

Arshad Shaikh — AI/ML Engineer | AI / ML

ENGINEER

Arshad Shaikh: AI/ML Engineer (T.Y. B.Tech) building intelligent, production-ready systems. Founder of Taskas (50+ clients • ₹4L+ revenue). Hands-on in LLM backends, computer vision (YOLOv8), and full-stack architecture.

✦ FOUNDER OF TASKAS (50+ CLIENTS) ↗ • LLM AGENTS • COMPUTER VISION (YOLOv8) • FASTAPI & FULL-STACK
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© 2026 Arshad Shafik Shaikh
✦ 01 / ABOUT ME
Arshad Shafik Shaikh
Arshad Shaikh

Engineering Intelligent Systems & Shipping Real Products.

I'm Arshad Shafik Shaikh — a third-year B.Tech AI & ML student at Zeal College of Engineering & Research (SPPU, Pune), Founder of Taskas, and an AI Engineer focused on shipping reliable machine learning, computer vision, and backend systems.

From training custom YOLOv8 models during my software engineering internship at Sun Fibo Technology, to architecting modular LLM backends with FastAPI and competing at the Smart India Hackathon (2025 & 2026), I combine rigorous algorithmic understanding with practical product ownership.

ACADEMICS
B.Tech AI & ML • CGPA 8.45
STARTUP
50+ Clients • ₹4L+ Revenue
INTERNSHIP
Sun Fibo Tech (AI/CV)
HACKATHONS
2x Smart India Hackathon
CORE STACK
Python • PyTorch • FastAPI
AVAILABILITY
Open to AI/ML Internships
T.Y. B.Tech AIML (2024–2028) ✦ Founder, Taskas ↗ Resume (PDF)
✦ 02 / EDUCATION & EXPERIENCE
Academic & Hackathons

B.Tech in Artificial Intelligence & Machine Learning

2024 – Expected 2028
Zeal College of Engineering and Research, Narhe, Pune
CGPA: 8.45 / 10 • Affiliated to Savitribai Phule Pune University (SPPU)
  • Elected Class Representative (2025–2026) for the Department of Artificial Intelligence & Machine Learning.
  • Rigorous coursework in algorithms, statistical machine learning, deep neural architectures, and distributed backend systems.
Machine Learning Deep Learning Computer Vision NLP DSA DBMS & SQL Operating Systems

Smart India Hackathon (SIH) 2026

Selected • PS 25082
Ministry of Education / NATPAC National Initiative
  • Selected for Problem Statement 25082: Built a multi-modal commuter travel-data collection mobile architecture.
  • Designed the application's resilient offline-first architecture, local SQLite queuing, and asynchronous background synchronization.

Smart India Hackathon (SIH) 2025

Selected • PS 25102
Ministry of Education / AI Dropout Prediction System
  • Selected for Problem Statement 25102: Developed an early warning AI predictive model for student dropout prevention.
  • Performed feature engineering on historical academic/socio-economic records and comparative supervised model benchmarking.

Google Skills & Professional Certifications

46 Badges

Completed 46 Google Cloud skill badges including Gemini for Data Scientists and Analysts and Implement CI/CD Pipelines on Google Cloud.

Industry & Startup Experience

Founder & Technical Lead

Jan 2026 – Present
TASKAS (Digital Solutions & AI Automation) • Pune, India
50+ Customers • 6 Strategic Partnerships • ₹4L+ Revenue
  • Founded and run a digital-solutions startup delivering production software, AI automation pipelines, and high-performance web products.
  • Own the entire product and engineering lifecycle: client requirement gathering, UI/UX prototyping, full-stack implementation, cloud deployment, and SLA maintenance.
  • Automated client estimation and onboarding funnels, scaling client acquisition with zero external funding.

Software Engineer Intern (AI & Computer Vision)

Jun 2025 – Jul 2025
Sun Fibo Technology • Vadgaon BK, Pune
  • Engineered an end-to-end real-time person-detection pipeline using YOLOv8 and Roboflow.
  • Handled dataset curation, custom bounding-box annotation, data augmentations (mosaic, HSV jitter), hyperparameter tuning, and mAP@0.5 validation.
  • Contributed to a generative Text-to-CAD system converting natural-language design specifications into parametric 3D CAD outputs.

Content Writer Intern

2025
Earth5R Environmental Organization
  • Authored technical communication and digital outreach reports supporting global environmental initiatives and educational sustainability drives.

Looking for an AI/ML Intern or Junior Engineer Who Can Ship?

Download my official one-page resume covering education, technical coursework, startup metrics, and GitHub codebases.

Download Resume (PDF)
✦ 02 / EXPERTISE

My
Expertise

I design and build digital experiences where design, code, and motion work as one. From expressive interfaces to high-performance AI systems.

Drag / Hover 3D Scene
Python AI & ML Three.js React.js GSAP Flask Tailwind
01

Creative Development

Building fast, responsive and scalable interfaces with modern frontend technologies and component architecture.

02

Motion & Interaction

Turning static websites into dynamic experiences through meaningful motion, GSAP ScrollTrigger, and smooth physics.

03

AI & Intelligent Systems

Creating speech-enabled virtual assistants, NLP intent models, and integrating custom ML pipelines into web apps.

04

Modern Web Apps & APIs

Developing scalable full-stack applications with Python Flask/Django, robust RESTful APIs, and secure integrations.

WORK

HTML5 CSS3 JavaScript React.JS Python GSAP Three.js Flask
UI/UX INTERACTIVE WEB CREATIVE DEVELOPMENT MOTION DESIGN AI ARCHITECTURE
✦ 03 / WORK

AI Systems & Engineering Products That Ship.

AI, SPEECH RECOGNITION & 3D ROBOTICS — 01

NEXUS AI Virtual Assistant

An intelligent voice-controlled assistant paired with an interactive 3D humanoid robotics interface. Built to handle continuous speech recognition, multi-intent NLP dispatching, and hands-free desktop automation.

Problem: Standard voice interfaces lack spatial presence and suffer from latency bottlenecks during continuous streaming audio capture.
Approach: Engineered a multi-threaded Python audio processing pipeline with SpeechRecognition and NLP intent matching, linked to a WebGL 3D robot that responds dynamically with spatial head/gaze tracking.
What I Built: Full speech audio capture thread, NLP dispatcher, automated OS workflows, and interactive 3D WebGL robot canvas.
<800ms Intent Dispatch Real-time Audio Stream 60 FPS 3D WebGL
Python SpeechRecognition NLP Spline 3D Multi-Threading
NEXUS 3D Robot Assistant
3D AI Robot Interface
VIEW PROJECT • VIEW PROJECT •
AI BACKEND & LLM ORCHESTRATION — 02

NOOR — AI Assistant Backend

A modular, production-grade AI assistant backend connecting large language models to external tool execution schemas, context-aware memory, and persistent relational storage.

Problem: Basic LLM wrappers fail at stateful multi-step tasks, tool reliability, and context drift over long conversations.
Approach: Engineered a modular FastAPI service layer with Pydantic validation, structured function calling, asynchronous background job handling, and dual SQLite/PostgreSQL persistence.
What I Built: Complete backend architecture, tool dispatcher, session context manager, and asynchronous API endpoints.
Multi-Tool Calling Stateful Memory Async Task Queue
Python FastAPI LLM APIs PostgreSQL Pydantic
Noor AI Backend
VIEW PROJECT • VIEW PROJECT •
COMPUTER VISION & DEEP LEARNING — 03

YOLOv8 Real-Time Person Detection

Production computer vision pipeline developed during my software engineering internship at Sun Fibo Technology. Features custom-annotated dataset curation, hyperparameter optimization, and low-latency edge inference.

Problem: Detecting human subjects in cluttered indoor feeds with occlusions and strict real-time throughput constraints.
Approach: Annotated custom training datasets in Roboflow, applied mosaic and HSV color augmentations, trained custom YOLOv8 weights over 100 epochs, and performed error analysis on false negatives.
What I Built: Data pipeline, model training scripts, confusion matrix validation, and real-time OpenCV edge inference loop.
30+ FPS Edge Inference High mAP@0.5 Validation Industry Tested
YOLOv8 PyTorch Roboflow OpenCV Python
YOLOv8 Person Detection
VIEW PROJECT • VIEW PROJECT •
SPATIAL COMPUTING & INTERACTIVE 3D — 04

3D AI Classroom (Three.js)

Interactive 3D educational environment showcasing technical range in browser graphics. Features an animated AI teacher avatar (`Emilian`), Web Speech API voice I/O, dynamic chalkboard rendering, and offline knowledge fallback.

Problem: Remote learning lack spatial immersion and interactive tutor responsiveness.
Approach: Built a full Three.js/R3F virtual classroom with GLTF skeletal animation mixers, dynamic lighting, OrbitControls exploration, and dual OpenAI/Gemini voice generation.
What I Built: Complete 3D scene architecture, skeletal animation controller, camera management, and multimodal voice integration.
3D Spatial Environment Voice Speech I/O Offline Fallback
Three.js React Three Fiber Gemini API WebGL Speech API
3D AI Classroom Three.js
3D Classroom Environment
VIEW PROJECT • VIEW PROJECT •
FOUNDER CASE STUDY & PRODUCT OWNERSHIP — 05

TASKAS Digital Solutions

Full-stack digital solutions and AI platform founded and scaled by Arshad Shaikh. Features an automated project cost estimator, lead capture pipeline, and client onboarding funnels delivering production software.

Problem: Small businesses and creators need digital presence and automated software without bloated agency overhead.
Approach: Engineered a streamlined web application with interactive cost estimation, automated Google Sheets & email lead dispatch, and scalable cloud hosting.
What I Built: Full-stack product, customer intake algorithms, UI design, client CRM integrations, and business development.
50+ Clients Served 6 Partnerships ₹4L+ Revenue
Next.js / JS AI Cost Estimator Lead Automation Tailwind
TASKAS Digital Solutions
VIEW PROJECT • VIEW PROJECT •
NATIONAL HACKATHON INNOVATION — 06

SIH AI Systems & Mobile Architecture

Two consecutive national selections for the Smart India Hackathon: an AI-based early warning student dropout prediction model (SIH 2025) and an offline-first commuter travel-data mobile architecture (SIH 2026).

Problem: Predicting academic dropouts before occurrence, and collecting uninterrupted commuter transport data in low-connectivity zones.
Approach: Trained supervised classification models on structured socio-demographic datasets; architected an offline-first mobile app with SQLite local caching and resilient background sync.
What I Built: ML feature engineering, model evaluation metrics, mobile system architecture, and technical pitch presentations.
2x National Selection Offline-First Sync Predictive Modeling
Scikit-Learn Pandas React Native SQLite Python
Smart India Hackathon Solutions
VIEW PROJECT • VIEW PROJECT •

Additional Projects & Experiments

Full-stack systems, mobile applications, and interactive 3D WebGL experiments.

3D WebGL / E-Commerce

Furniture 3D Showcase

Interactive 3D product inspection viewer with dynamic lighting controls and WebGL material shaders.

TypeScript • Three.js • WebGL Live Demo ↗
WebGL / Motion

Creative 3D Portfolio

Three.js WebGL shaders, kinetic liquid text distortion, smooth Lenis momentum scrolling, and custom magnetic physics.

Three.js • GSAP • WebGL Code ↗
Mobile Engineering

Ridezy — EV Ride-Hailing App

EV-bike ride-hailing mobile concept covering mobile UI/UX, Node.js backend APIs, JWT authentication, and Google Maps routing.

React Native • Node.js • JWT GitHub ↗
Full-Stack Cloud

Taleem Gym Management

Full-stack member and subscription management system with Firebase Auth, Cloud Firestore real-time sync, and admin dashboards.

React • Firebase • Firestore Private (On Request) ↗
CONTACT
✦ 04 / CONTACT

Let's Create Something Meaningful.

Have a project in mind, a question, or simply want to talk about an idea? I'd love to hear from you.