Abhishek L
Software Development Engineer | |
M.Tech - Data Science | |
BITS University (2023-2025) |
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B.Tech - Computer Science | |
VIT University, Chennai (2015-2019) |
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abhishek.ln.19@gmail.com 👈 | |
Get in Touch 👈 | |
Visit my Github 👈 |
👉 Success is a Journey, Not a Destination..!! 👈
Interned at RedBlackTree as a part organization’s AdminiBot team, to build a complete OCR system using various image processing concepts and machine learning techniques to detect the contents of any given invoice image and hence to automatically segregate the textual content like the Company Name, price, etc…
Contributed majorly to almost every phase of a Software Development Life Cycle starting from requirements gathering, features suggestion and functionalities selection, road map building to ensuring of timely delivery along with testing for an EHR Software (Electronic Health Record) which was in the very initial developmental stage.
A research paper on 'Optical Character Recognition using Ensemble of SVM, MLP and Extra Trees Classifier' has been published in the IEEE INCET-2020 Conference (IEEE International Conference for Emerging Technology) which is included in the IEEE Xplore. (Link to Paper)
A paper named ‘Accident Detection and Number Plate Recognition using Image Processing and Machine Learning’ has been published in the IJRTE journal (International Journal of Recent Technology and Engineering) under the Volume-8 Issue-5 which is indexed by Scopus. (Link to Paper)
A paper named ‘Automation in Agriculture Using IOT and Machine Learning’ has been published in the IJITEE journal (International Journal of Innovative Technology and Exploring Engineering) under the Volume-8 Issue-8 which is indexed by Scopus. (Link to Paper)
Certification on Azure from Microsoft - Helpful in understanding different cloud concepts and cloud services needed while developing projects on Azure and other cloud services.
A 6-weeks complete course on Algorithms offered by University of California, San Diego through Coursera
A 3-courses 12-weeks specialization program on GoLang offered by University of California, Irvine through Coursera.
Awarded with a Certificate of Appreciation for topping in Advanced C++ exams organized by the GNU/Linux User Group and ACM Student Chapter in association with Spoken Tutorial Team of IIT Bombay.
Awarded with a Certificate of Appreciation along with a cash prize for meritorious performance and excelling in the quiz conducted at the end of a Python workshop.
Secured second place for coding and executing a Hangman game in a Tech-Learning Competition.
A program (in Python language) or an application (with UI - Tkinter) that predicts the percentage of victory of any team in a cricket match by scraping on its own, the statistics of the players from the web.
A regression problem to predict the price of a house which has more than 180 attributes to learn. Used different ML techniques - XGB, Lasso Regression, Random Forest, Linear Regression. Secured a Kaggle rank of 216 (was ranked in the top 10%) during the time of submission.
Program (in R programming language) that retrieves tweets from Twitter (using twitteR package) on any generic topic and categorizes them into tweets that are in favour or against by analyzing the lexicons and emoticons in them.
An IOT project that automates the Driving License Test process by analyzing the motion of the car (parking,inclined plane,driving an eight ) using many components like Ultrasound sensor, Light detector, ESP8266 Module, Arduino interface, etc..
A project that uses different image processing and machine learning techniques to detect the car and hence the number plate if any collision or accident is detected.
A simple compiler/translator built on top of D3 math JS (using Scalable Vector Graphics - SVG) to plot the graph of any mathematical function taken as input from the user by using the concepts of lexical analysis, semantic analysis and code generation.
A web application that helps users to reserve tickets for any particular train. This uses both client-side (HTML, JavaScript, CSS) and server-side (PHP) scripting languages and also connects to the database to achieve the same.
Worked on the standard journal paper 'Predicting the Valence of a Scene from Observers' Eye Movements' and improved its accuracy to great extent compared with the original paper.
A Python application or program that first separates the human hand from the background and then computes different image descriptors which are pushed into a trained ML model to predict the meaning of that particular hand-sign.