Government Polytechnic Palanpur

Academic Qualifications

Degree	Institution	Period	Focus
B.Sc. in Programming and Data Science	Indian Institute of Technology, Madras	In Progress	Computer Science, Data Analysis, Machine Learning
M.E. in Communication Systems Engineering	Gujarat Technological University	2013-2015	Signal Processing, Embedded Systems, Networking
B.E. in Electronics and Communication	Gujarat Technological University	2009-2013	Electronics, Digital Systems, Communication

Technical Expertise

Domain	Technologies	Proficiency
Embedded Systems	STM32, Arduino, Raspberry Pi, 8051, PIC, AVR	Advanced
Programming	Python, C/C++, R, MATLAB	Advanced
Web Development	HTML, CSS, JavaScript, Markdown	Intermediate
Data Science	ML Algorithms, Statistical Analysis, Data Visualization	Advanced
Computer Vision	OpenCV, Image Processing, Object Detection	Advanced
Networking	Routing, Switching, Network Protocols, CCNA	Intermediate
PCB Design	EagleCAD, Altium Designer, OrCAD	Intermediate
Cloud Computing	Cloud Infrastructure, Big Data Processing	Intermediate

Professional Experience

Government Polytechnic, Palanpur

GES Class II Lecturer (October 2016 – Present)

Responsibilities	Details
Teaching	Programming in C, Microcontrollers, Embedded Systems, Circuit Design, Consumer Electronics, Industrial Management
Administrative	DTE-MIS Committee, Campus Network Administration, KCG Finishing School Programme, SSIP Committee
Research Guidance	Supervising innovative student projects in electronics and embedded systems
Academic Advising	Providing career and academic guidance to engineering students

TEXEG India Private Limited

Electronics Engineer (July 2015 – October 2016)

Responsibilities	Details
R&D Testing	Test setup design, data collection, analysis and reporting
Controller Design	PID, PI, and Fuzzy logic controllers using MATLAB toolboxes
Firmware Development	System firmware design, development, testing and debugging
Hardware Systems	Design, development and troubleshooting of electronic systems
Embedded Solutions	Complete embedded solutions for various R&D projects

Professional Certifications

Specialized Learning Paths

Specialization	Platform	Key Topics
Advanced Machine Learning	Coursera	Deep Learning, Computer Vision, NLP, Bayesian Methods, Reinforcement Learning
Machine Learning	Coursera	Supervised Learning, Regression, Classification, Clustering
Deep Learning	Coursera	Neural Networks, CNN, RNN, Optimization, Hyperparameter Tuning
Recommender Systems	Coursera	Collaborative Filtering, Content-Based Systems, Matrix Factorization
Data Structures and Algorithms	Coursera	Algorithms, Data Structures, Graphs, Strings, Genome Assembly
Big Data	Coursera	Data Management, Processing, Integration, ML with Big Data
Data Mining	Coursera	Pattern Discovery, Clustering, Text Mining, Visualization

NPTEL Achievements

Domain	Completed Courses	Achievements
Computer Science	Design and Analysis of Algorithms, Programming in Python, Computer Graphics, Operating System, Database Management, Cloud Computing	NPTEL Discipline Star (2020)
AI & Data Science	Machine Learning, Deep Learning, Reinforcement Learning, AI Knowledge Representation, Data Science for Engineers	NPTEL Evangelist (2020)
Programming	Java, C++, Python, R	NPTEL Motivated Learner (2020)
IoT & Industry	Internet of Things, Industry 4.0, Industrial IoT	NPTEL Believer (2020)

Professional Networking & Development

Certification	Platform	Focus Area
CCNA Routing and Switching	Udemy	Network Infrastructure, Routing Protocols, Switching
Machine Learning and Data Science	Udemy	Python & R for Data Science, ML Applications
Complete Python Masterclass	Udemy	Python Programming, Applications, Best Practices
Complete JavaScript Course	Udemy	Web Development, JavaScript Programming
MBA in 1 Course	Udemy	Business Fundamentals, Management Principles

Projects & Research

FPGA Implementation of Image Steganography

Aspect	Details
Objective	Hardware implementation of YASS (Yet Another Steganographic Scheme)
Technologies	FPGA, Verilog, Image Processing
Key Features	Resistance to self-calibration based blind steganalysis attacks
Outcome	Published in International Journal of Computer Applications
Link	View Research Paper

Wireless Data Acquisition System

Aspect	Details
Objective	Multi-device wireless monitoring and control system
Technologies	Modbus Protocol, Wireless Communication, Embedded Systems
Key Features	Control of up to 255 devices, real-time data processing
Applications	Industrial monitoring, environmental sensing, process control

Professional Development Roadmap

Timeline	Focus Area	Planned Activities
Current	Edge AI & TinyML	Implementing ML on resource-constrained devices
2025 Q2	Advanced Computer Vision	Developing real-time object detection systems
2025 Q3-Q4	MLOps & Deployment	Building pipelines for ML model deployment
2026	Industry 4.0	Smart manufacturing applications and IIoT integration

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For a complete CV or additional details on any aspect of my work, please contact me.

Degrees

• Bachelor of Science (B.Sc.) in Programming and Data Science from Indian Institute of Technology, Madras (IIT, Madras)
• Master of Engineering (M.E.) in Communication Systems Engineering from Gujarat Technological University (GTU)
• Bachelor of Engineering (B.E.) in Electroncis and Communication Engineering from Gujarat Technological University (GTU)

Certificates

Coursera

• Advanced Machine Learning Specialization
  • Introduction to Deep Learning
  • How to Win a Data Science Competition: Learn from Top Kagglers
  • Bayesian Methods for Machine Learning
  • Practical Reinforcement Learning
  • Deep Learning in Computer Vision
  • Natural Language Processing
  • Addressing Large Hadron Collider Challenges by Machine Learning

• Machine Learning Specialization
  • Machine Learning Foundations: A Case Study Approach
  • Machine Learning: Regression
  • Machine Learning: Classification
  • Machine Learning: Clustering & Retrieval

• Deep Learning Specialization
  • Neural Networks and Deep Learning
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
  • Structuring Machine Learning Projects
  • Convolutional Neural Networks
  • Sequence Models

• Recommender Systems Specialization
  • Introduction to Recommender Systems: Non-Personalized and Content-Based
  • Nearest Neighbor Collaborative Filtering
  • Recommender Systems: Evaluation and Metrics
  • Matrix Factorization and Advanced Techniques
  • Recommender Systems Capstone

• Data Structures and Algorithms
  • Algorithmic Toolbox
  • Data Structures
  • Algorithms on Graphs
  • Algorithms on Strings
  • Advanced Algorithms and Complexity
  • Genome Assembly Programming Challenge

• Big Data
  • Introduction to Big Data
  • Big Data Modeling and Management Systems
  • Big Data Integration and Processing
  • Machine Learning With Big Data
  • Graph Analytics for Big Data
  • Big Data - Capstone Project

• Data Mining
  • Data Visualization
  • Text Retrieval and Search Engines
  • Text Mining and Analytics
  • Pattern Discovery in Data Mining
  • Cluster Analysis in Data Mining
  • Data Mining Project

• Cloud Computing
  • Cloud Computing Concepts, Part 1
  • Cloud Computing Concepts: Part 2
  • Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure
  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
  • Cloud Networking
  • Cloud Computing Project

• Android App Development Specialization
  • Java for Android
  • Android App Components - Intents, Activities, and Broadcast Receivers
  • Android App Components - Services, Local IPC, and Content Providers
  • Engineering Maintainable Android Apps
  • Capstone MOOC for "Android App Development"

NPTEL

• Computer Science - Discipline

  • Foundations of Computing - Domain

    • Discrete Mathematics
    • Design and Analysis of Algorithms
    • Programming, Data Structures And Algorithms Using Python
    • Theory of Computation
    • Foundations of Cryptography
    • Computer Graphics

  • Systems- Domain

    • Compiler Design
    • Operating System
    • Computer Networks and Internet Protocol
    • Introduction to Database Systems
    • Introduction to Internet of Things
    • Cloud computing

  • Programming- Domain

    • Programming, Data Structures And Algorithms Using Python
    • Programming in C++
    • Programming in Java
    • Database Management System
    • Data Science for Engineers
    • Introduction to Internet of Things

  • Artificial Intelligence- Domain

    • An Introduction to Artificial Intelligence
    • Artificial Intelligence : Knowledge Representation And Reasoning
    • Programming, Data Structures And Algorithms Using Python
    • Introduction to Machine Learning
    • Introduction to Machine Learning - Proff. Balaram Ravindran
    • Deep Learning - Part 1
    • Reinforcement Learning

  • Data Science- Domain

    • Programming, Data Structures And Algorithms Using Python
    • Data Science for Engineers
    • Introduction to Machine Learning
    • Introduction to Machine Learning - Proff. Balaram Ravindran
    • Deep Learning - Part 1
    • Reinforcement Learning
    • An Introduction to Artificial Intelligence
    • Artificial Intelligence : Knowledge Representation And Reasoning

• Introduction to Industry 4.0 and Industrial Internet of Things

• Joy of computing using Python

• Introduction to R Software

• Scalable Data Science

• Business analytics and data mining Modeling using R

• Business Analytics & Data Mining Modeling Using R-PART II

• Business Analytics & Text Mining Modeling Using Python

• Business Statistics

• Computer Architecture & Organization

Udemy

• New CCNAx 200-125 Routing and Switching
• Cisco CCNA / ICND1 (100-105) Complete Course: Sims and GNS3
• Cisco CCNA / ICND2 (200-105) Complete Course: Sims and GNS3
• Complete Python Masterclass
• Machine Learning and Data Science Hands-on with Python and R
• Machine Learning A-Z™: Hands-On Python & R In Data Science
• The Complete JavaScript Course 2020: Build Real Projects!
• An Entire MBA in 1 Course:Award Winning Business School Prof