Portfolio

About

Software Engineer & a Graduate student

I am a graduate student at UC Santa Cruz in Computer Science and Engineering. I like to solve problems. My research interests are on the confluence of the fields of Machine Learning and its usage in the fields of Image and Video Recognition.

Birthday: 9th Dec 1995
Email: oghaneka@ucsc.edu
City: Santa Cruz, California

Age: 26
Degree: Master

Skills

Python 100%

Algorithmic Problem Solving 90%

JavaScript/TypeScript 75%

Web Development/ Full Stack Development 85%

Databases and SQL 80%

Full Stack Development90%

Machine Learning 80%

Language Processing and Data Analysis80%

Resume

Click here to view complete resume

Summary

Omkar Ghanekar

Solution oriented and innovative Software Engineer with 3+ years of experience of writing scalable and robust software services

141 Chestnut St, Santa Cruz, California
oghaneka@ucsc.edu

Education

Master of Computer Science

September 2021 - Present

University of California, Santa Cruz (UCSC)

Courses undertaken:

Information Retrieval
Distributed Systems
Machine Learning and Statistics
Analysis of Algorithms

Bachelor of Engineering

July 2014 - July 2018

Pune Institute of Computer Technology (PICT), India

Courses undertaken:

Data Structures
Operating Systems
Database Management Systems
Cloud Computing
Computer Networks

Projects

Impact of Text Summarization on Search Results

March 2022 - June 2022

Built a summarized Wikipedia search engine to determine the search performance of a system on concise data. Used wikipedia document set from Kaggle of around 8 GB and used Auto-Encoder Decoder to summarize text and ElasticSearch for search engine.
Accuracy: 70% -75% precision and recall as compared to non-summarized data query results.
Click here to view the report

Chess Engine

January 22 - March 2022

Created a mini chess engine using tools like Minimax algorithm, Quiescence search for different depth analysis and gameplay.
Accuracy: 92% correct and optimal moves as compared to Stockfish and other chess engines.

Human Actions Recognition model

August 2017 - February 2018

Implemented a Human Actions Recognition model providing results in real-time using 2D and 3D ConvNet model in Keras and TensorFlow.
Testing accuracy: 87%
Training Time: 15 minutes

Professional Experience

Software Engineering Intern

June 2022 - September 2022

Arista Networks, Santa Clara, US

Gaining invaluable experience as a summer intern with Big Switch Networks team on Converging Cloud Fabric

Software Engineer

September 2018 - July 2021

Soft Corner, Pune, India

Developed scalable REST web services capable of handling large amounts of data for the major workflow execution modules and the user integrations including OAuth and report generation.
Automated the deployment pipeline to reduce the server downtime by 75%.
Integrated transactional messaging and email services using Twilio and MailGun to reduce system overhead.