About Me

I am a self-motivated researcher and innovator with industry experience and enthusiasm in Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision. Hands-on experience in project development and interested in devising a better problem-solving method for challenging problems and learning new technologies and tools if the need arises.

I am currently in my final year of Engineering specialized in Information Technology with an overall CGPA of 9.4 and have been consistently in the top 5 of my class.

I have published two international research papers both in the AI/ML/DL domain, one of which got published at the CVPR conference. CVPR is the topmost computer science conference in the world. The Github code repository for the same paper has 500+ stars and 130+ forks.

I am currently interning at Pirimid Fintech, where we are building an ML/DL-based Early Warning Detection System for banks. Our system will give early warning signals to banks regarding fraud and risky accounts. I have also interned in three more companies in Pune, mostly during my summer and winter breaks. I have been consistently working on ML/DL projects.

I am also a three times Smart India Hackathon finalist consistently for three years in a row. I got opportunities to work on the projects of ISRO, ITC LTD, and DRDO. I have also completed Deep-learning certification courses from Coursera (Deeplearning.ai) and NPTEL (IIT Madras and Google)

Work Experience

Machine Learning Intern

Pirimid Fintech , Ahmedabad, Gujarat

  • Building Early Warning Systems for banks, a kind of robust Credit Scoring System.

Nov 2020 - Present


R&D Intern Computer Vision

Orbit Shifters Inc, Pune

  • Computer Vision and AI based Combat Sports Analysis
  • Pose estimation and action recognition
  • USA Olympics Boxing, Taekwondo, Fencing, Karate

Jun 2020 - Aug 2020


Deep Learning Intern

AP Analytica Pvt Ltd, Pune

  • Invoice data extraction from image documents
  • Tabular data extraction from image documents
  • Optical Character Recognition

Oct 2019 - Jan 2020


Machine Learning Intern

Tribbianis Software Solutions Pvt Ltd, Pune

  • Real time Face Recognition
  • License Plate Recognition
  • Optical Character Recognition

June 2019-August 2019


Software Intern

Kneo Automation Pvt Ltd, Pune

  • Computer Vision, Machine learning and Deep learning
  • Web application development (Frontend and Backend)
  • Android application development (Hybrid)

May 2017-August 2018

Education

Pune Institute of Computer Technology,Pune

Bachelor of Engineering
Information Technology

CGPA: 9.30(3 semesters)

June 2018 - June 2021


Government Polytechnic, Pune

Diploma in Engineering
Computer Engineering

Percentage: 90.5%

May 2015 - May 2018


Aaryans World School, Pune

10th grade : CBSE (Central Board of Secondary Education)

CGPA - 9.6

April 2014 - May 2015

Projects

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Sports Vision
Orbit Shifters
Deep-learning Computer-Vision
Artificial Intelligence software that automates sports video analytics.
Saves 1,560,750 man hours of each year trying to analyse data manually to get to the vital insights.
Player Analysis for the USA Olympics for combat sports : Boxing, Taekwondo, Fencing and Karate sports.
Link to Project
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Image based Invoice Parsing system
AP ANALYTICA
Deep-learning Computer-Vision
Real time invoice text extraction from images deployed on Web application framework. State of the art Object detection, Sequence models and Attention OCR. Table structure recognition and data extraction.
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Real Time Face Recognition
TRIBIANNIS SOLUTIONS
Deep-learning Computer-Vision
Real time multiple face recognition (attendance system) with facility to register new faces. DeepFace and FaceNet One shot learning. Link to Project :
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AI based Smart Traffic Junction
PASCKATHON 19
Machine-learning Computer-Vision Web-Application Internet Of Things
Live video feeds from the cctv cameras were read in real time using Raspberry Pi. On edge traffic density estimation using ML and Image Processing. Real time data monitoring and controlling with visualization. Link to Project :
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REAL TIME ANOMALOUS PRODUCT CLASSIFICATION AND DETECTION
TRIBIANNIS SOLUTIONSKNEO AUTOMATION
Deep-learning Computer-Vision
Deep Learning (CNN) based Product Classifier which classifies various good and bad products in real time. Re-trained InceptionV3. Link to Project :
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ONLINE INSPECTION OF PACKED TOBACCO CASES
SIH 19 ITC
Deep-learning Computer-Vision
Machine Learning based real time Tobacco leaves grade classification based on color and texture. Unsupervised learning techniques like PCA and LDA. Feature extraction using Gabor, Haralick, LBP and HOG. Link to Project :
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COMPUTER VISION BASED ROBOT NAVIGATION SYSTEM
KNEO AUTOMATION
Deep-learning Image Processing
OpenCV based object position, size and alignment detection for robots. Distance of objects from a reference object or origin. Link to Project :
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SEVEN SEGMENT DISPLAY OCR
KNEO AUTOMATION
Deep-learning Image Processing
OpenCV based Tesseract based OCR to perform real-time optical character recognition on a seven segment display in real time. Link to Project :
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DYNAMIC HUMAN AUTHENTICATION USING VIDEOS
SIH 20 DRDO
Deep-learning Computer-Vision
Real time Dynamic Human Authentication using Video on Gate entrance. Face Recognition, Web app project deployment. Link to Project :
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AUTOMATIC FIRST ARTICLE INSPECTION REPORT GENERATION SYSTEM
VEM TOOLING
Computer-Vision Image-Processing
High tolerance and accuracy based object dimension extraction system using cameras and FAIR report generation. 3D reconstruction using multiple cameras Alice Vision API. Link to Project :
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TEACHER FEEDBACK SYSTEM
PICT
Web-Application
JSP and MySQL based online system to record feedback of students of all departments of PICT. Link to Project :
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FINAL YEAR DIPLOMA PROJECT
GPP
Internet Of Things Web-Application
Cloud server based Real time remote monitoring and controlling home automation system with mobile app. Link to Project :
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CNN BASED CROWD FACE COUNTER AND ESTIMATOR WITH A WEB APP.
COEP HACKATHON MIND SPARK
Deep-learning Computer-Vision
Cloud server based Real time remote monitoring and controlling home automation system with mobile app. Link to Project :
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EVENT MANAGEMENT ANDROID APPLICATION WITH FIREBASE.
PICT CSI STUDENT BRANCH REAL TIME
ANDROID
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RESPONSIVE WEBSITE
K&N AUTOMATION, CHENNAI, INDIA
Website
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CSS JS BASED RESPONSIVE WEBSITE
PICT ACM PULZION 2018 HTML
WEBSITE

Link to Project :
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GARBAGE VOLUME ESTIMATION USING MULTI-VIEWED IMAGES.(ISRO)
SMART INDIA HACKATHON 2018 (SIH)
Deep-learning ANDROID Computer-Vision Image-Processing
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TESSERACT BASED OCR TO READ EMBOSSED TEXT ON METALS
EMBOSSED TEXT READER
Computer-Vision Image-Processing

Link to Project :
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HTML CSS BASED HYBRID MOBILE DEVICE FRONTEND
PHONEGAP MOBILE SCREEN UI
ANDROID IOS +

Link to Project :

Certifications

Coursera


Neural Networks and Deep Learning (deeplearning.ai)
Certification Link

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization (deeplearning.ai)
Certification Link

Structuring Machine Learning Projects (deeplearning.ai)
Certification Link

Convolutional Neural Networks (deeplearning.ai)
Certification Link

Sequence Models (deeplearning.ai)
Certification Link

Deep Learning Specialization (deeplearning.ai)
Certification Link

Deep Neural Networks with PyTorch(IBM) (deeplearning.ai)
Certification Link


NPTEL


Practical Machine Learning with Tensorflow 2.0 (IIT Madras and Google)
Certification Link

Awards

Achievements

Finalist Smart India Hackathon 2020
Finalist Smart India Hackathon 2019
Finalist Smart India Hackathon 2018
Winner Credenz Datawiz 2019 Kaggle in-class competition
Winner PICT Internal hackathon for SIH 2020
Runner up PICT INC 2019 (Pratibha) National Level paper presentation competition
Runner Up Pasckathon 19, the annual Hackathon at PICT
Winner Web App development competition Pulzion 18
Shortlisted top 2 from PICT cluster level i-2-e startup and innovation competition


Volunteer Experience


Technical Head at PICT Computer Society India Student Branch (2019 – 2020)
Student Member at PICT Computer Society India Student Branch (2018 – 2019)
Event Head at GPP Annual Fest (TECHNOFEST 2K18) (2018)

Skills

Languages
python C C++ JAVA JS

Machine Learning and Deep Learning
Tensorflow PyTorch Keras Scikit-Learn Pandas

Web-Application
JavaScript Html CSS JSP PHP AJAX MySql

Internet of Things
Raspberry-Pi Arduino

Computer-Vision
Open CV Numpy PIL/Pillow Scikit-Image

Data Science
Pandas SciPy Matplotlib Seaborn

Other
Android Git Github