About
I am a Lecturer with experience in Object Oriented Programming and Machine Learning. I guide innovation projects and have developed and deployed Machine Learning models for geospatial image processing, enhancing workflow efficiency. My education includes a B.Tech in Artificial Intelligence and Machine Learning and a Diploma in Computer Science. I have expertise in areas like Computer Vision, Data Analytics, and Natural Language Processing.
Skills & Expertise
Python
C++
SQL
JavaScript
Machine Learning
Computer Vision
Natural Language Processing
Data Analytics
TensorFlow
Keras
PyTorch
scikit-learn
Pandas
NumPy
Matplotlib
MySQL
PostgreSQL
Git
GitHub
Rasa
REST APIs
GDAL
Rasterio
SocketIO
ESP-32
YAML
JSON
Research Interests
AI
IOT MACHINE LEARNING
Aerospace & Defense ERP Solutions
Remote Sensing and GIS
Connect With Me
Experience
Lecturer
Successfully taught extensive lectures in Object Oriented Programming (C++) and currently teaching Machine Learning as per MSBTE syllabus, with a pass ratio of 90 in Board examinations. Spearheading Departmental Projects as Project In-Charge - Guiding a patent-oriented innovation project from conceptual development to technical validation.
Software Engineer
Developed and deployed Machine Learning models to automate complex geospatial image processing tasks, including NDVI conversion, layer stacking, and change detection, significantly enhancing workflow efficiency.
Education
SBJITMR
NIT Polytechnic
Projects
Pixel based Change Detection in Satellite Imagery
Enhanced a fast and accurate pixel-based change detection system for satellite imagery, identifying significant ground changes while mitigating radiometric/geometric variations. Technology used: Python, Computer vision, Remote Sensing Libraries (e.g., GDAL, Rasterio).
Custom Intent-Based Chat-bot for Attendance Tracking Platform
Developed a conversational chatbot using Rasa (NLU/Core) to address user queries and clarify platform processes, enhancing user support through accurate intent recognition and entity extraction. Real-time communication built using SocketIO and connected back-end services via REST APIs, delivering a responsive, modular, and scalable conversational interface. Technologies used: Python, Rasa (NLU/Core), SocketIO, REST APIs, YAML, JSON.
Real time Pothole Detection using Mobile Sensors and Deep Learning
Designed a real-time pothole identification and voice alert system using ESP-cam and the Hyper tuned Yolov8m model. Technology used: Keras, ESP-32, Battery Management System, JS
Pixel based Change Detection in Satellite Imagery
Enhanced a fast and accurate pixel-based change detection system for satellite imagery, identifying significant
ground changes while mitigating radiometric/geometric variations.
Technology used: Python, Computer vision, Remote Sensing Libraries (e.g., GDAL, Rasterio).
Real-Time Pothole Identification: An Integrated Approach Using Mobile Sensors and Deep Learning
Designed a real-time pothole identification and voice alert system using ESP-cam and the Hyper tuned Yolov8m
model.
Technology used: Keras, ESP-32, Battery Management System, JS
Conferences & Seminars (2)
Recent Innovations in Intelligent Computing Systems and IoT (RI2CSI 2025)
No descriptions
Emerging Trends in Artificial Intelligence and Its Real-World Applications
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Certificates & Licenses (11)
Leadership - Leading A Community
AIML for Geodata Analysis
Data Analytics Essentials
Google Data Analytics Professional
Career Essentials In Generative AI
Awards & Achievements (2)
🏆 ISRO Immersion Challenge (AIR 20th)
Led OrbitX AI team in developing and presenting prototype on an AI-based enhanced constellation system solution.
🏆 Pulzion Tech - AIR 9th
Thesis Guided (1)
NIT’S CLASS-SENSE: AI-BASED SMART CCTV MONITORING SYSTEM
Institution: NIT Polytechnic
Patents (1)
Real-Time Pothole Identification: An Integrated Approach Using Mobile Sensors and Deep Learning
My B.Tech final year project, "Real-Time Pothole Identification: An Integrated Approach Using Mobile Sensors and Deep Learning", was successfully published as a patent, demonstrating innovation in sensor integration and deep learning for practical applications.
Role in Research Journals (1)
Reviewer
Publications (1)
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