Abhijeet Singh
Software Engineer

Developer with experience in AI, Machine Learning and Web Development. Computer Science UG student. Open to internship in fields related to software development.

Sir M. Visvesvaraya Institute of Technology, Bangalore
BE Computer Science & Engineering 2020
VTU, Belagavi | CGPA 8.4/10.0
Modern Sr. Sec. School, Talwandi, Kota, Rajasthan
Class XII Mathematics & Science 2015
CBSE | 87%
St. Paul's Sr. Sec. School, Mala Road, Kota, Rajasthan
Class X Mathematics & Science 2013
CBSE | CGPA 10.0/10.0
Languages: Python, C#, Java, C/C++, HTML, CSS, Shell Scripting, SQL, JavaScript
Industry Knowledge: Advanced Algorithms, Data Structures, Object Oriented Design, Databases, Machine Learning, Data Science, Flask, Web Crawling, Git, Linux, Android, Adobe Photoshop, Cloud Computing, OpenCV, Keras, TensorFlow
GitHub · Open Source Contributor

Active contributor to open source projects from Microsoft, Mozilla, Google, GitHub, and Udacity.

Mozilla · Club Captain

Mozilla Campus Clubs representative on campus. Open source and web development mentor.

College · Automatic Timetable

Built a web based application with Bootstrap, Oracle Database & Flask to automate the process of timetable creation in college (NP Hard problem) with a Heuristic Approach using Genetic Algorithms.

Bengaluru, Karnataka
Artificial Intelligence Intern
Feb. 2019 - July 2019
  • Among best 10 (from ~1100) in the in-house Stanford Tiny ImageNet Challenge (top-1 accuracy)

  • Built custom CNN models for Object Detection and improved accuracy with Image Augmentation

  • Studied ResNet, LeNet, AlexNet, VGG, GoogleNet, DenseNet and YOLO architectures in detail

  • Tools: Jupyter, Keras, Python, Google Colab, TensorFlow, Git

Aditya Birla Group (Hindalco Industries Limited)
Dahej, Gujarat
Software Development Engineer Intern
Jan. 2019 - Feb. 2019
  • Designed & tested software for interfacing industrial weighbridges using RS-232 Serial Ports
  • Built a single software capable of interfacing weighbridge indicators from multiple manufacturers
  • Designed & developed an android application to interact with on-premise hosted database
  • Tools: Java, JSSC, Android, REST, Oracle Database
Giscle Systems
Bengaluru, Karnataka
Deep Learning Intern
July 2018 - Aug. 2018

  • Designed & implemented neural network models for Trajectory Planning of a Self Driving Car.
  • Tested the produced deep learning models on Carla, Udacity, and AirSim simulators.
  • Analyzed performance of Reinforcement Learning and end-to-end Deep Learning approach for optimal results.
  • Tools: Python, Keras, TensorFlow, CNTK

Bengaluru, Karnataka
Microsoft Student Partner
Aug. 2017 - Present

  • Head of the college's technical society GLUG.
  • Published blog posts on Cloud Computing and Software Development.
  • Mentored students on AI, Web and Software Development.
  • Tools: Python, Java, Machine Learning, Git, Azure, Internet of Things

Sphere of Life

Interactive visualizations of NASA datasets and their analysis to tackle ZIka Virus, Forest Fires, Agricultural Trade and Solar Energy Adoption.

Data Science | Machine Learning | ReactJS | Worldwind

Autonomous Crop Irrigation System using Artificial Intelligence

A closed-loop AI based irrigation solution for farmers which can auto irrigate the fields for a given crop, based on real-time soil moisture content, crop health analysis, and weather prediction. Research published in International Journal of Engineering and Advanced Technology.

Machine Learning | Data Science | IOT | Python

PDF Extractor OCR

Tool for batch extraction of contents of table based scanned PDFs using Image Processing and Optical Character Recognition.

Tesseract | Python | Shell Scripting

INT Vision

Real time crowd analysis cross-platform desktop software for speakers and teachers which shows their audience engagement level using Computer Vision and Machine Learning, easily connected to camera enabled devices.

Azure | OpenCV | Tkinter | Python

NASA - Space Apps Challenge India Winner
Oct. 2018

Pre-hackathon: Built a solution for calculation of amount and risks of Cosmic Radiation Exposure for frequent flyers.

Main hackathon: Built a solution for visualization of NASA datasets and their analysis.

NASSCOM - FutureSkills Winner
Sept. 2018

National winner for Aeris Communications problem statement: Built a closed loop irrigation solution for farmers using Internet of Things and AI.

Mobile Marketing Association - Ideathon Winner
Aug. 2018

National winner for Vodafone problem statement: Built a solution for increasing market acquisition and customer experience.

Valuepitch e Technologies - ML Hackathon First Runner-up
Sept. 2017

Developed a software for extracting tabulated content from scanned documents using Edge Detection and Optical Character Recognition.