KESHAV

AI/ML Systems Engineer & Computer Vision Researcher

Keshav
Patidar

AI/ML Engineer & CS Student specializing in real-time computer vision, high-throughput backend architectures, and production-ready APIs that scale intelligent models.

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Python • JavaScript • TypeScript • C++ • Java • SQL • HTML/CSS • PyTorch • TensorFlow • YOLOv10/v8 • OpenCV • CSRNet • GANs • MediaPipe • Scikit-learn • XGBoost • Random Forest • LSTM architectures • Pandas • NumPy • SciPy • Predictive Modeling • Time-Series Analysis • Data Preprocessing • Feature Extraction • Matplotlib • Seaborn • React • React Native • Node.js • FastAPI • Flask • Socket.IO • WebSockets • Tailwind CSS • Framer Motion • AWS (EC2, S3, IAM) • Firebase • PostgreSQL • SQLite • Vercel • Git/GitHub • Linux environments • Docker • LaTeX • Overleaf •Python • JavaScript • TypeScript • C++ • Java • SQL • HTML/CSS • PyTorch • TensorFlow • YOLOv10/v8 • OpenCV • CSRNet • GANs • MediaPipe • Scikit-learn • XGBoost • Random Forest • LSTM architectures • Pandas • NumPy • SciPy • Predictive Modeling • Time-Series Analysis • Data Preprocessing • Feature Extraction • Matplotlib • Seaborn • React • React Native • Node.js • FastAPI • Flask • Socket.IO • WebSockets • Tailwind CSS • Framer Motion • AWS (EC2, S3, IAM) • Firebase • PostgreSQL • SQLite • Vercel • Git/GitHub • Linux environments • Docker • LaTeX • Overleaf •Python • JavaScript • TypeScript • C++ • Java • SQL • HTML/CSS • PyTorch • TensorFlow • YOLOv10/v8 • OpenCV • CSRNet • GANs • MediaPipe • Scikit-learn • XGBoost • Random Forest • LSTM architectures • Pandas • NumPy • SciPy • Predictive Modeling • Time-Series Analysis • Data Preprocessing • Feature Extraction • Matplotlib • Seaborn • React • React Native • Node.js • FastAPI • Flask • Socket.IO • WebSockets • Tailwind CSS • Framer Motion • AWS (EC2, S3, IAM) • Firebase • PostgreSQL • SQLite • Vercel • Git/GitHub • Linux environments • Docker • LaTeX • Overleaf •Python • JavaScript • TypeScript • C++ • Java • SQL • HTML/CSS • PyTorch • TensorFlow • YOLOv10/v8 • OpenCV • CSRNet • GANs • MediaPipe • Scikit-learn • XGBoost • Random Forest • LSTM architectures • Pandas • NumPy • SciPy • Predictive Modeling • Time-Series Analysis • Data Preprocessing • Feature Extraction • Matplotlib • Seaborn • React • React Native • Node.js • FastAPI • Flask • Socket.IO • WebSockets • Tailwind CSS • Framer Motion • AWS (EC2, S3, IAM) • Firebase • PostgreSQL • SQLite • Vercel • Git/GitHub • Linux environments • Docker • LaTeX • Overleaf •

The Background

Bridging the gap between AI research and beautiful, functional products.

My focus is on turning complex models into robust, real-world systems. On the technical side, I love diving into deep vision networks, dilated convolutions, and scalable containerization.

I’m a Computer Science Undergraduate specializing in Artificial Intelligence and Machine Learning at VIT Bhopal University, working right at the intersection of deep learning theory and practical software engineering.

Ultimately, I’m driven by the challenge of taking a sophisticated neural network and wrapping it in an exceptionally clean, stable, and user-friendly interface.

Featured Work

Computer Vision

Aura FitnessWorking

A premium, low-latency digital gym mirror HUD utilizing real-time skeletal tracking and biomechanical math heuristics to provide live form-coaching and muscle-activation analytics.

PythonMediaPipe PoseOpenCVReactFastAPIWebSocketsSQLiteTailwind CSSFramer MotionDocker
Deep Learning

Crowd Density PredictorCompleted

Dilated convolutional neural network mapping to count crowds in high-density areas.

PythonCSRNetPyTorch
Generative AI

GenAnime AICompleted

Synthesized GAN framework exploring neural image-to-image dataset generation.

PythonGANsTensorFlow
Computer Vision

Smart Traffic AnalysisCompleted

A high-performance system for real-time vehicle detection, lane violations, and traffic flow analysis using state-of-the-art YOLO architectures.

PythonYOLOv10OpenCV

Experience

Moving models out of the notebook and into the real world.

I build AI applications that actually work in production, not just on paper. From processing real-time data pipelines to deploying deep learning models, I focus on the practical engineering workflows that turn complex code into functional software.

21st MAY – 05th july (45-Day Internship)

Full-Stack & AI Engineering Intern

UltraTech Cement LimitedGujarat Cement Works, Kovaya
  • Solely engineered the cross-platform React Native, Expo, and TypeScript client, including a dynamic SVG-based anterior/posterior anatomy heatmap with HSL gradients for live muscle-activation tracking.
  • Developed a biomechanical motion engine using computer vision pose tracking, Savitzky-Golay joint smoothing, and a Finite State Machine (FSM) to evaluate kinematics and trigger real-time TTS form feedback.
  • Architected an offline-first telemetry pipeline with SQLite local caching and a serverless Vercel/PostgreSQL backend sync, secured via SSL certificate pinning and cryptographic request signatures.

Academic Path

Connecting the dots of my educational background.

This is a look at the road I've taken so far. From my early schooling to specializing in Computer Science and AI at the university level, each phase has given me the core computer science fundamentals and problem-solving skills I rely on daily.

2023 - Present

Bachelor of Technology in Computer Science and Engineering (AI & ML)

VIT Bhopal University

Rigorous academic training specializing in algorithmic deep learning, computer vision architectures, and statistical machine learning systems.

2023

High School (Class 12) / Senior Secondary Education

ABPS, Kovaya

Completed secondary education with focused studies in physics, chemistry, and mathematics.

Let's Talk.

Creating dynamic digital assets.

I am open to collaborative research, software engineering internships, and specialized artificial intelligence pipeline work.

Phone Number

+91 7041891383

Location

Bhopal, India