ABOUT ME
I am a Senior Software Engineer and Machine Learning Specialist with over 7 years of experience in building sophisticated, data-driven applications for desktop, web, and cloud environments. I have 5+ years of expertise in Machine Learning and Data Analysis, specializing in predictive modeling, statistical algorithms, and data-centric business solutions across diverse sectors such as social, retail, and education.
I hold a Master’s degree in Data Science from Mercyhurst University, where I graduated with a 3.88 GPA, and a Bachelor’s in Computer Engineering from the University of Pune. My technical skills encompass a wide range of languages and tools, including Python, R, TypeScript, React, and AWS cloud platforms.
I am adept at engineering scalable systems, designing data pipelines, optimizing search algorithms, and enhancing user engagement through personalized recommendation engines. Driven by a passion for solving complex problems and staying ahead of technological advancements, I focus on delivering innovative, impactful solutions that align with strategic business goals.
My commitment is to continuously learn, adapt, and apply cutting-edge techniques to create technology that is both technically robust and strategically valuable. For the detailed information about my experience, please download the below resume.
WORK EXPERIENCE
Meetup LLC. New York, NY USA
Duration : 26 April 2021 – till date
Designation : Senior Software Engineer in ML
Responsibilities :
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Engineered scalable and high-efficient services using Python, TypeScript, and Scala, deployed on Lambda and ECS, to deliver personalized, keyword, and location-based recommendations through advanced recommendation models and optimized ElasticSearch/OpenSearch query algorithms.
• Configured environment to run Logstash on AWS ECS service and written complex query to generate and integrate data from MySQL and S3 data into ElasticSearch Cluster Index.
• Engineered Airflow DAGs to transfer production data to S3 data lakes and subsequently to RedShift.
• Enhanced an existing Model by introducing new features and re-training it, leading to a significant improvement in model accuracy from 74% to 85%. Deployed the model to provide real-time recommendations for members based on their preferences.
• Developed analytical pipelines to compute search metrics like MRR, MAP@K, and CTR, facilitating analysis on Event and Group searches to enhance search relevancy scores.
• Established an A/B test Dashboard environment using the Looker analysis tool, aiding in the evaluation of modifications to Models or Search algorithms.
• Designed an architecture to retrieve city locations and their polygon data from OpenStreetMap, integrating them into the ElasticSearch Index. Developed an API to filter events and groups based on selected city locations such as boroughs or neighborhoods.
• Developed Geo Location Search using ElasticSearch and replaced apis with traditional search that improved search relevancy by almost 60%.
• Implemented a model feature utilizing text embeddings vectorization to match Member search history with chapter descriptions using cosine similarity in PySpark, resulting in a 3% improvement in model accuracy.
• Managed the migration of AWS OpenSearch Service from ElasticSearch 7.10 to the latest OpenSearch version 2.7. Engineered the OpenSearch query algorithm to perform Semantic Search matching parallelly with exact text matching, enhancing search result relevance by almost 10.75% and reducing empty searches by approximately 72%.
• Led the full end-to-end model development process, encompassing candidate generation, feature engineering, model training, validation, and deployment to production. Optimized recommendation jobs generated by the model, enhancing performance and efficiency within Airflow workflows.
• Currently in the process of developing week-over-week trending searches by geo locations.
Referrence:
EDUCATION
Mercyhurst University, Erie, PA.
Master of Science in Data Science, Aug 2015 - May 2017
Graduate Courses: Data Science Tools, Data Visualization, R Programming, Machine Learning, D3, Hadoop, Python, Big Data, Database Technologies, Research Based Project I & II.
GPA: 3.88
Pune University, Maharashtra, India.
Smt. Kashibai Navale College of Engineering Sinhgad Institute Pune
Bachelor of Engineering in Computer, July 2006 -Jun 2010; Percentage: 62.30% First class
Rodo Inc. New York, NY 10119 USA
Duration : 22 July 2017 – till date
Designation : Senior Software Engineer
Responsibilities :
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Architecting, developing data-driven efficient and high performance micro-services using Node, Go languages and deploy in AWS ECS or Lambda environments.
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Analyze and generate the reports on company’s large scaled data to find the trends that help in decision making for stakeholders.
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Written complex algorithm to find the best stackable rebates applicable to specific Make-Model-Trim inventory to calculate the accurate vehicle pricing.
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Developed Customer based architecture that applies inventory based discounts and sends email and mobile notification to thousands of customers at the same time using Lambda, SQS, SES AWS infrastructure.
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Setting and managing the AWS API Gateway to securely communicate public web and mobile applications with micro-services through proper authentication mechanism
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Develop Google Optimize A/B Analysis Test to find the customer based interaction to web and mobile applications.
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Setup Google Analytics and Heap.io events, tags, variables, custom dimensions that will contribute to set the Google analytics goals and provide accurate user interactions on web and mobile applications.
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Developing a AWS batch job to integrate week by week basis Google Analytics page views search data into Postgres and write statistical trending modules to deliver best suitable inventories to customers by zip code basis.
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Contribute in developing user-friendly, high-performance Google SEO oriented modules in React NextJs and Vue.js web applications.
Referrence:
Paragon Print Systems Erie, PA 16504 USA
Duration : 20 July 2017 – 19 July 2019
Designation : Data Analyst & Software Developer
Responsibilities :
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Developed end to end low-latency, scalable and high-performance E-Commerce Barcode Factory Company Website using NodeJS, Express, EJS, MySQL.
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Performed the statistical analysis to improve the Google SEO optimization and applied strategies in developing effective Google SEO friendly dynamic pages using EJS server-side templating with well-managed URL redirection, also supported page activities through Google Analytics.
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Implemented shopping cart with integration of UPS, FedEx, USPS, Address Validation, PayPal Payment and Notification APIs in NodeJS.
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Developed well-secured Restful API with integration of different APIs in Node.js, Express
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Deployed Website on Apache web server on Linux platform, used PM2 package to control the
application execution. Migrated Website on Nginx server for better performance and security.
• Performing Statistical Analysis over half million of products to strategies Google marking and webappearance based on different criteria like sales per week, per month, pricing, inventory, ratings and more. By Performing Statistical Analysis and New Web Designing helped to improve monthly sales by 70%
• Worked on creating Order Processing CRM Web Application using NodeJS, EJS and MySQL.
Referrence:
Mercyhurst University Erie, PA 16504 USA
Duration : 14 Dec 2015 – 14 May 2017
Designation : Graduate Programmer and Data Analyst
Responsibilities :
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Cleansed, manipulated and extracted university applicant’s data using R Programming
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Wrote R and Python software that generated and sent detailed and summary reports on years-to date basis in PDF and Excel format via automated mails to the Dean of departments also scheduled this report generation on a weekly basis using iOS Launchd jobs
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Depicted Google Maps, Heat Map to provide the broad overview for analysis of University
Applicants data using R programming and Tableau software
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Supervised Statistical Prediction models using R program which determines applicant acceptance
rate in Mercyhurst University using applicant University and Census data
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Developed iOS mobile App for Mercyhurst using Swift technology, implemented RESTful API to communicate Amazon Web Services for storage and streaming large video files
Referrence:
Tieto Software Technologies Ltd Pune, MH India
Duration : 27- Jan-2014 to 21- Aug-2015
Designation : Software Engineer
Responsibilities :
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Developed Windows based Dental Application for Nordic Healthcare
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Implemented user interface modules using Windows Presentation Foundation (WPF),
Model–View–ViewModel (MVVM) dependency injection pattern -
Wrote WCF service that communicates with SQL Server Databases via Entity Framework
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Generated the reports based on patient treatments and expenditures using Report Viewer • Incorporated Unit test cases, Applied SONAR code optimization
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Followed Agile Methodology, Used Team Foundation Server (TFS) for Project Management
References:
http://www.tieto.no/bransjer/helse-og-velferd/lifecare/lifecare-dental
Persistent Systems Ltd Pune, MH India
Duration : 6-Dec-2010 to 24-Jan-2014
Designation : Senior Software Engineer
Responsibilities :
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Contributed in developing Toad Decision Point Windows based Business Intelligence Tool from initial stage.
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Responsible for retrieving data from different resources like Excel, CSV, SQL Server, Oracle, DB2 and Toad Data Services and store into SQLITE in Memory Data.
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Handled memory optimization while reading millions of data and operations on that.
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Created user interfaces using C#, WinForms for Dataset, Tabular, and Dimensional View.
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Implemented Fixed, Float and Custom Layout Dashboards that represent different charts.
Referrence: