Hritik Sharma

AI/ML Enthusiast & Developer

Building Intelligent Systems with Deep Learning & Computer Vision

Specializing in TensorFlow, PyTorch, Computer Vision, NLP, and algorithmic trading systems. Passionate about pushing the boundaries of AI to solve real-world problems.

Hire Me View AI Projects

About Me

AI/ML Developer & Computer Vision Specialist

I'm a passionate AI/ML developer with expertise in building intelligent systems using cutting-edge technologies. My journey in artificial intelligence combines academic knowledge in Cybersecurity with hands-on experience in machine learning frameworks.

With a strong foundation in Python, TensorFlow, and Computer Vision, I've developed production-ready AI systems including algorithmic trading platforms, face manipulation tools, and predictive analytics solutions. I thrive on transforming complex data into actionable insights through advanced ML algorithms.

My approach combines rigorous experimentation, clean code practices, and a deep understanding of both the mathematical foundations and practical applications of AI. I'm constantly exploring new frontiers in deep learning, NLP, and computer vision.

AI/ML Focus Areas

  • Deep Learning & Neural Networks
  • Computer Vision & Image Processing
  • Natural Language Processing
  • Time-Series Forecasting
  • Algorithmic Trading Systems
  • MLOps & Model Deployment

AI/ML Technical Arsenal

AI/ML Frameworks

  • TensorFlow & Keras
  • PyTorch
  • scikit-learn
  • Hugging Face Transformers
  • NumPy & Pandas

Computer Vision

  • OpenCV
  • Image Processing
  • Object Detection
  • Face Recognition
  • Video Analysis

NLP & Text Analytics

  • BERT & Transformers
  • Sentiment Analysis
  • Text Classification
  • Named Entity Recognition

Data Science

  • Statistical Analysis
  • Time-Series Forecasting
  • Feature Engineering
  • Data Visualization
  • A/B Testing

Development

  • Python
  • Flask & FastAPI
  • REST APIs
  • Git & GitHub
  • Docker

MLOps & Deployment

  • Model Versioning
  • Cloud Deployment
  • CI/CD Pipelines
  • Performance Optimization

Featured AI/ML Projects

★ FEATURED

Algorithmic Trading Data Analysis System

October 2024 – Present
  • Performed comprehensive analysis on historical trading data using advanced statistical methods and machine learning
  • Implemented LSTM/GRU models using TensorFlow for price trend analysis achieving 78% pattern recognition accuracy
  • Analyzed chart patterns using OpenCV-based computer vision for automated technical indicator extraction
  • Conducted sentiment analysis on 10,000+ financial news articles using FinBERT (Hugging Face Transformers)
  • Performed portfolio risk analysis and correlation studies using scikit-learn and statistical modeling
  • Built data analysis pipeline processing 50+ technical indicators with NumPy and Pandas for market behavior insights
  • Created comprehensive visualizations and statistical reports to identify trading patterns and market trends
TensorFlow OpenCV Transformers scikit-learn NumPy Pandas Python

FaceFusion - AI Face Manipulation Platform

September 2024 – Present
  • Developed production-grade face swapping platform using advanced deep learning algorithms
  • Implemented real-time face manipulation with TensorFlow and computer vision techniques
  • Optimized video processing pipeline with GPU acceleration for 4x faster rendering
  • Created intuitive interface for complex AI model interaction with batch processing support
TensorFlow OpenCV Python Deep Learning
View Code

AI-Powered Media Converter (Built with AI)

July 2025 – Present
  • Website built using AI - Built fully responsive multi-tab web application using Flask (Python), HTML, CSS, JavaScript with modern UI/UX principles
  • Implemented backend functionality for file processing using Pillow, MoviePy, and pydub libraries
  • Supports audio, image, and video format conversions with real-time progress tracking
  • Integrated AI-driven smart compression using machine learning to optimize file sizes while preserving quality
  • Implemented automated quality enhancement algorithms using computer vision and audio analysis
  • Utilized Git/GitHub for version control and collaborative development practices
AI/ML Flask Python Pillow MoviePy pydub
View Code

Currently In Development

Tokai - Bit Perfect Audio Player

October 2025 – Present
  • Developing high-fidelity audio player in C++ with advanced DSP algorithms
  • Implementing lossless FLAC codec with bit-perfect playback capabilities
  • Building cross-platform audio engine using CMake for macOS optimization
  • Integrating machine learning for audio analysis and intelligent playlist generation
C++ CMake libFLAC DSP ML
View Code Active Development

Full Stack Development Projects

Custom Neovim Development Environment

April 2024 – Present
  • Engineered custom Neovim-based IDE with integrated unit testing and debugging capabilities
  • Implemented automated testing and documentation practices, achieving 40% faster development workflow
  • Integrated LazyGit for streamlined version control operations and enhanced Git workflow management
  • Configured multi-language LSP support for Java, Python, C, and C++ with syntax highlighting and IntelliSense
  • Built plugin ecosystem with custom keybindings and automation scripts using Lua
Neovim Lua LSP Git
View Config

Responsive Survey Form

August 2021
  • Developed responsive survey form using HTML, CSS, JavaScript with client-side validation
  • Created lightweight, mobile-first design with field-level validation and error states
  • Implemented vanilla JavaScript for form handling without external dependencies
  • Built accessible form with proper ARIA labels and keyboard navigation support
HTML CSS JavaScript
View Code

Professional Experience

Executive Operator

Startek
February 2025 – September 2025 | Bengaluru
  • Managed "MISSION HAPPINESS PROCESS" with strong stakeholder collaboration
  • Improved operational efficiency using Python and Bash scripting for automation
  • Consistently exceeded performance targets through process optimization

Computer Science Instructor

Swadharma Foundation
July 2024 – December 2024 | Jaipur
  • Developed technical curriculum achieving 90% comprehension rate
  • Applied agile methodologies in iterative curriculum development
  • Enhanced peer learning programs with data modeling concepts

Web Developer Intern

WePanther GlobalSoft Tech.
January 2023 – June 2023 | Jaipur
  • Architected full-stack website increasing user engagement by 40%
  • Implemented responsive interfaces following UI/UX best practices
  • Collaborated on debugging and unit testing using Git version control

Education & Certifications

Education

Bachelor of Computer Applications (Specialized in Cybersecurity)

JECRC University • 2023

Cybersecurity Certifications

Certified Ethical Hacker (CEH v11)

EC-Council

Certified Network Defender (CND v2)

EC-Council

EC-Council Certified Security Specialist (ECSS v9)

EC-Council

Programming Certifications

Programming using Java

Wingspan • January 2025

Basics of Python

Wingspan • January 2025

Get In Touch

Ready to build intelligent AI solutions together? Let's discuss how my expertise in machine learning, computer vision, and algorithmic systems can bring value to your projects.

hkhrithik083@gmail.com
+91 9460497120
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GitHub Profile