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Founder & CEO @BeejTech Solutions | Building Production-Grade AI Systems | AgenticAI • GenerativeAI • LLMs • RAG • AI Automation • MachineLearning • DeepLearning • NLP • Compute Vision • MLOps • EnterpriseAI Architecture
With 15+ years of experience in Artificial Intelligence, Machine Learning, and Enterprise Technology, I specialize in building production-grade AI systems that transform complex business challenges into scalable, intelligent solutions. My expertise spans across Agentic AI, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Machine Learning, Deep Learning, NLP, Computer Vision, and AI Automation. I have designed and deployed AI-powered solutions using technologies such as TensorFlow, PyTorch, Keras, YOLO, OpenCV, FastAPI, LangChain, vector databases, and open-source LLM ecosystems to solve real-world problems in automation, intelligent document processing, image recognition, predictive analytics, and enterprise workflows. As a Compliance Automation & AI Governance Specialist, I focus on developing secure, explainable, and audit-ready AI systems that enhance operational efficiency while ensuring regulatory compliance. My work combines RegTech innovation, AI-driven validation, autonomous workflow orchestration, AI observability, and automated auditing frameworks to build scalable compliance ecosystems with traceability, governance, and human-in-the-loop oversight. I am deeply passionate about: • Agentic AI & Autonomous Systems • Enterprise AI Architecture • AI Governance & Responsible AI • AI Workflow Automation • Intelligent Document Processing (IDP) • Multi-Agent Systems • AI-Powered Compliance Platforms • Database Reliability & High-Performance Systems • AI Infrastructure & MLOps Driven by innovation and a commitment to responsible, transparent, and explainable AI, I collaborate with cross-functional teams, startups, and enterprises to deliver impactful, future-ready technology solutions. My focus is on enabling organizations to make smarter data-driven decisions, reduce operational and compliance risk, accelerate a
Gujarat University
Master of Computer Applications - MCA, Computer Science
September 1, 2004 – June 1, 2007
Gujarat University
Master of Computer Applications - MCA, Computer Science
January 1, 2004 – January 1, 2007
Saurashtra University
Bachelor of computer Application -BCA, Computer Science
January 1, 2001 – January 1, 2004
BeejTech Solutions
Founder & CEO
December 1, 2020 – Present
Ahmedabad, Gujarat, India
Freelance | Self-Employed
AI Strategy & Machine Learning Implementation Consultant
May 1, 2019 – Present
Ahmedabad Area, India · Remote
Technostacks Infotech Pvt. Ltd.
Sr. Machine Learning Engineer
October 1, 2018 – March 1, 2019
Ahmedabad Area, India
Techno Samarthyam
Software Engineer (Image processing and Machine Learning Engineer)
November 1, 2016 – April 1, 2018
South Bopal, Ahmedabad, India
K.S. School of Business Management - India
Assistant Professor
July 1, 2013 – March 1, 2016
Navrangpura Ahmedabad
Infobridge software solution
Software Enginear
September 1, 2008 – January 1, 2009
Pune
JURISCAPE LEGAL RESEARCH PRIVATE LIMITED
Junior Engineer
April 1, 2007 – November 1, 2007
Greater Ahmedabad Area
3D Pose Estimation & Biomechanical Analysis for Cricket Performance
May 1, 2025 – Present
Developed a complete computer vision pipeline for 3D human pose estimation and biomechanical feedback in cricket videos. The system integrates MediaPipe BlazePose for 2D detection and PoseFormer / VideoPose3D / MHFormer for 3D keypoint lifting, with preprocessing for video alignment, smoothing using median and EMA filters, and occlusion handling for robust joint tracking. Extended the framework with a bat detection module (YOLOv8) to estimate bat keypoints and enhance skeleton tracking. Built a biomechanics analysis layer to compute metrics such as head stability, knee flexion, hip rotation, shoulder opening, upper-body sway, and footwork type, translating pose data into actionable coaching insights. Implemented shot segmentation, stage classification, and zone mapping (wagon wheel visualization) to deliver detailed, JSON-based performance summaries for each shot. Optimized the system for real-time visualization, offline operation, and CPU/GPU efficiency.
AI-powered Video & Image Recognition Solution
February 1, 2025 – Present
This project involves the development of a standalone AI-powered web crawler designed to detect non-consensual intimate images (NCII) using facial recognition technology. The application will function as a processing tool capable of scraping images from websites, comparing them with user-uploaded reference images, and displaying matches. The solution will operate asynchronously and deliver real-time results while ensuring user data privacy.
Automation of inventory management
December 1, 2021 – January 1, 2023
Automation of inventory management is multi-faceted, ranging from real-time data analysis to automated decision-making. This project can process vast amounts of data quickly, accurately, and without fatigue, making it an invaluable tool for optimizing inventory. Machine learning models analyze historical sales data, customer trends, and external factors to predict future demand with remarkable accuracy. Machine learning-based forecasting minimizes overstock and stock-out situations, ultimately saving businesses money and ensuring customer satisfaction. Application monitor Demand prediction,Inventory segmentation and Inventory forecasting.
Yoga Posture detection.
May 1, 2020 – December 1, 2020
Yoga Posture detection is develop to detect each position of Yoga using Pose estimation. This project is develop using python and model is deploy with android application.
Pills Detection Recognition and counting
March 1, 2020 – August 1, 2021
Pills Detection Recognition and counting is made for medical purpose. Dr. give medicine an refer to application that will keep trace of medication prescribe by doctor. This application contain ML Model made with YOLOv4 and give good result.
Mechanical Hardware assembling with Automation
January 1, 2019 – March 1, 2019
Mechanical parts of heavy machinery will assemble with automation and using machine learning algorithm. Here Image classification is used for checking correct assembling.
Playing card Detection for Poker game
December 1, 2018 – January 1, 2019
Playing card detection for poker game, that help player to decide next moves. Technology used Yolov3, Darknet, tensorflow, keras, mlmodel(for IOS), Python, Linux
Automatic Students Attendance
October 1, 2018 – March 1, 2019
Automatic Students Attendance system takes student attendance using cameras in class room. This project is run using firefly pi chip. Using Neural Network algorithm will help to detect and recognise face of each student. All features are as following. - Face Detection -Face Recognition -Face Tracking -New face registering and training data set with cloud. Technology used is this project are : -Numpy, Opencv, C++, Tensorflow, Pytorch, Embeded Linux, OpenGL, OpenGLES -Firefly, NCC S1 card, camera
Object Detection and Classification
July 1, 2017 – October 1, 2017
Object Detection and classification is done for CCTV footage for parking area to detect car in and out. Here in this project we have used concepts of Deep learning, CNN.
Automatic Licence Plate Detection and Recognition (ALPR)
April 1, 2017 – November 1, 2017
ALPR detect number plates with all Image processing, crop it and finally recognise it for Indian RTO pattern. This project finally give output as a licence plate number. Algorithm used in this is LBP for detection, Tessaract for recognisation. Programming is done in Opencv C++. Platform is Linux(Ubuntu).
Lean Detection
January 1, 2017 – March 1, 2017
A Module for POC to detect lean for driver less car. In that project we have to take care of on going lean with left, right and centre line of lean. In this project we had used RANSAC algorithm, Programming is done using MATLAB. We have also used computer vision libraries in this.
Fundamentals of Digital Image and Video Processing
Coursera Course Certificates
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera Course Certificates
June 24, 2026 – Present
Getting and Cleaning Data
Coursera
June 24, 2026 – Present
Machine Learning Engineering for Production (MLOps) Specialization
DeepLearning.AI
June 24, 2026 – Present
Introduction to Programming with MATLAB
Coursera Course Certificates
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Data Science: Foundations using R
Coursera
June 24, 2026 – Present
Reproducible Research
Coursera
June 24, 2026 – Present
Statistical Inference
Coursera
June 24, 2026 – Present
Practical Machine Learning
Coursera
June 24, 2026 – Present
Regression Models
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera Course Certificates
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
R Programming
Coursera
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera
June 24, 2026 – Present
Exploratory Data Analysis
Coursera
June 24, 2026 – Present
Developing Data Products
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive experience across various ML/AI projects, including personal projects and consulting roles, demonstrates a strong passion for the field and a proactive approach to learning and application. The breadth of projects, from embedded systems to web crawlers, indicates adaptability and a willingness to tackle diverse challenges. The role as Founder & CEO suggests an entrepreneurial mindset, which could be a strong cultural fit for innovative environments. However, the lack of explicit team collaboration examples in project descriptions makes it difficult to fully assess team-oriented cultural fit.
Soft Skills & Operational Fit
The candidate's experience as a Founder & CEO and AI Strategy Consultant suggests strong leadership, problem-solving, and project management skills. The project descriptions indicate an ability to translate complex business problems into technical solutions. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.