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Senior Machine Learning Engineer @ Dark Matter Technologies with AWS expertise
As a Senior Machine Learning Engineer at Dark Matter Technologies since September 2023, I focus on developing scalable AI and machine learning solutions tailored for the mortgage industry. With expertise in cloud application development, cloud computing, and software solution architecture, the team integrates advanced technologies to build efficient enterprise-level systems. With over five years of prior experience as a data scientist and software engineer, the approach emphasizes MLOps-driven methodologies, collaboration, and innovation to solve complex challenges in financial technology. Holding an AWS Certified Developer Associate credential, the focus is on leveraging cloud technologies to deliver transformative business impact.
University of Southern California
MS, Computer Science
January 1, 2016 – January 1, 2017
Pune Institute of Computer Technology
Bachelor of Engineering (BE), Computer Engineering
January 1, 2011 – January 1, 2015
Savitribai Phule Pune University
Bachelor’s Degree, Computer Engineering
January 1, 2011 – January 1, 2015
Dark Matter Technologies
Senior Machine Learning Engineer
September 1, 2023 – Present
Philadelphia, Pennsylvania, United States · Hybrid
Black Knight
Data Scientist
June 1, 2018 – September 1, 2023
Philadelphia, Pennsylvania
HeavyWater Inc.
Software Engineer - Java, AWS & Machine Learning
February 1, 2018 – June 1, 2018
Greater Philadelphia
Information Sciences Institute
Research Intern
August 1, 2017 – December 1, 2017
Los Angeles Metropolitan Area
HeavyWater Inc.
Software Engineer Intern
May 1, 2017 – August 1, 2017
Philadelphia, Pennsylvania
BMC Software
Software Engineer Intern
July 1, 2014 – April 1, 2015
Pune/Pimpri-Chinchwad Area
Text Summerisation Analysis
March 1, 2017 – Present
Created a web interface using Node.js and MySQL for evaluation Text Summarization algorithms implemented in python to keep track of the user responses in the form of ratings to the various summaries in the Marathi and Portuguese languages. The web application provides functionality to track the user responses and create an average rating for various algorithms so that the performance can be evaluated without any bias.
Part of Speech Tagger for Catlan
February 1, 2017 – Present
Created a Part a speech tagger on based hidden markov model on a Catalan dataset that identifies the parts of speech in a sentence with 94% accuracy using python.
Sentiment Analyzer
January 1, 2017 – Present
• Built a Sentiment analyzer that classifies the hotel reviews as to be positive or negative with 93% accuracy and being a truthful review or deceitful with 91% accuracy in python.
StockIt
January 1, 2017 – Present
Developed a Web based simulator using Node.js, jQuery and MySQL database to simulate stock transactions and tracking the profit/loss in real-time for each company. Implemented session management using Express.js. In addition, developed API’s to simulate transaction behaviour and Deployed the web application on AWS.
Search Engine on News website corpus on Hadoop
October 1, 2016 – Present
Developed a web based search engine using Apache Solr on a news website article data corpus. Indexed crawled data by generating pageRank scores of all the documents in the corpus. It also has the functionality of Spelling correction and autocomplete to the search engine and implemented web server using PHP.
Stock Market Viewer
March 1, 2016 – Present
Created a web application and also an android application to keep track of the stock market prices using PHP, javascript, jQuery from the REST API data . Functionalities include search stock prices, Mark favorites, Shows Historical trends for up to 3 years, Displays latest news about the company, Real time stock prices updates(refreshes every 5 seconds), Also post on the facebook.
Security Vulnerability Monitor and Compliance Rule Generator
August 1, 2014 – April 1, 2015
Created a RSS feed reader to monitor networking devices' vendor websites for the security vulnerability updates posted on their websites, fetch those reports and process those reports to generate network compliance rules
Content based Visual information Retrieval(CBVIR)
March 1, 2014 – April 1, 2014
Generation of a video clip from the data set of videos relevant to a query based on the textual information about those video clips.
AWS Certified Develper Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience is heavily skewed towards Machine Learning, Data Science, and backend development, which does not directly align with a 'Frontend Developer' target role. While there are frontend technologies mentioned in personal projects (PHP, JavaScript, jQuery, Node.js for web interfaces), the professional experience is primarily in AI/ML. This indicates a potential mismatch with the target role's core requirements, suggesting a need for significant upskilling or a different role alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a capacity for independent development. However, without specific psychometric test results or interview data, it's difficult to assess soft skills like teamwork, communication style, or stress handling. The focus on personal projects suggests self-motivation.