Feb 2023 – Feb 2024 · 1 yr · San Francisco Bay Area

• As Senior ML Engineer at a dynamic startup, we must wear multiple hats and take on different roles and responsibilities as needed. Here are my main responsibilities:
• Leading the design, development, and optimization of full-stack, customer-facing features, incorporating machine learning techniques and software engineering best practices
• Spearheading initiatives to enhance core infrastructure, drive customer experience improvements, and develop robust machine-learning models
• Mentoring team members in identifying root causes, proposing test cases and fixes, and creating new debugging tools while collaborating with product teams and data scientists
• Implementing advanced troubleshooting techniques, leveraging machine learning algorithms and software engineering tools to efficiently address code bugs and model performance.
• Analyzing and resolving complex performance issues and functional bugs across multiple projects using machine learning techniques and software engineering principles
• Guiding the team in investigating, reproducing, and diagnosing intricate issues impacting customers while driving technical innovation in machine learning and software development
• Influencing the engineering culture by contributing to best practices, codebase optimizations, architectural decisions, and machine learning model deployments.
• Facilitating cross-functional collaboration on setting priorities, defining technical specifications, aligning project goals, and fostering a culture of continuous learning and improvement in machine learning and software engineering domains.

Apr 2021 – Feb 2023 · 1 yr 10 mos · San Francisco Bay Area

• As an ML Engineer at Synapse focusing on sign-up risk and fraud detection, I have a proven track record of building and implementing advanced machine learning pipelines for model serving and deployment.
• Here is what I do:
• Develop and test robust systems that automate manual tasks, ensuring the reliability and integrity of the solutions
• Prototype and implement high-quality, scalable solutions for complex software problems across teams and take them to production using modern software development practices and tools.
• Prioritize across technical debt, engineering excellence, and feature development, and work closely with internal and external customers to help them adopt Core BaaS APIs and components, providing technical guidance and support as needed
• Evaluate existing software to identify opportunities for optimization and collaborate with engineering managers, architects, and domain leads to define product roadmaps and translate them into functional specifications and sprints, using design thinking and other proven methodologies.
• Design, code, test, and automate critical modules and components using agile software development methodologies and industry-standard best practices, focusing on quality, performance, and maintainability.

Dec 2019 – Apr 2021 · 1 yr 4 mos · San Francisco Bay Area

• I work in Synapse's Risk team, and we develop awesome Deep Learning products at scale which impact the real world positively.
• Check out these links-
• https://medium.com/synapsefi/how-we-built-an-automated-id-verification-system-powered-by-deep-learning-b09602ac5744
• https://blog.synapsefi.com/updates/id-score-building-the-best-kyc-layer

May 2019 – Nov 2019 · 6 mos · San Francisco Bay Area · On-site

• Gemini provides enterprise-driven knowledge across data silos to bring your data to life. We use next-generation data virtualization technology that empowers AI/ML-driven intelligence across all enterprise data and silos.
• Pattern Extraction*
• Alleviated log analytics performance by 80% by implementing a sophisticated pipeline in Python and Apache Calcite to generate regular expressions (regex) from unstructured log data to automatically parse & store real-time streams.

Sep 2018 – Apr 2019 · 7 mos · Charlotte, North Carolina Area · On-site

• Modular Algorithm Design*
• Partnered with Microsoft & Mariner to reduce the false positive identification rate of defective windshields by 100% by implementing an ensemble of Convolutional SVMs and CNNs using OpenCV and Keras in Python.
• Increased Savings*
• Targeting to optimize the model to have an 8s response time during inference after deploying as an Azure Machine Learning Web Service (REST API). Projected to save USD 1 million per quarter.
• Partnering Companies - Mariner | Microsoft

Jun 2018 – Aug 2018 · 2 mos · San Francisco Bay Area · On-site

• Business Process Improvement*
• Increased Zuora’s live support agent involvement by ~75% by building a Machine Learning Topic Modelling pipeline in Java and Python to correlate customer support tickets with internal knowledge base content.
• Driving Customer Engagement*
• Accelerated ticket response time by 90% by leveraging Deep Learning algorithms to automate access validation to Salesforce.com orgs in Zendesk.

Feb 2018 – Jun 2018 · 4 mos · Charlotte Metro · On-site

• Data Analysis*
• Increased faculty-department engagement by creating Tableau storyboards for executive show-and-tells by accurately visualizing and analyzing complex student data. Predicted SLOs and retention rates using statistical methods in R.
• Operational Process Automation*
• Cut down data extraction time from 8 hours to less than 2 minutes by transitioning to an automated system by implementing data extraction & manipulation scripts in Python.

May 2016 – Jul 2017 · 1 yr 2 mos · Pune Area, India

• Salesforce SME & Specialist
• Involved in end-to-end delivery of an eCommerce Platform for a prominent client.
• Worked extensively in the Design, Analysis, Development, Unit Testing, Deployment and Maintenance of the eCommerce Portal.
• Extensive experience with Salesforce Customization / Configuration.
• Thoroughly involved in the complete Sales + Service process overhaul for a client.
• Led a team of around 10 members (Developers & Testers) for the delivery.
• Worked extensively in all types of Salesforce Cloud(Sales Cloud, Service Cloud, Marketing Cloud), as well as third-party integrations using SOAP/REST APIs.
• Comprehensive experience with Agile & Rapid Development Models.
• Equipped with Atlassian Project Management Suite (JIRA / Confluence / BitBucket / SourceTree) skills.
• Experienced in the code-review and peer-review procedures.

Apr 2015 – May 2016 · 1 yr 1 mo · Pune Area, India

• Extensive experience in Salesforce customization and advanced Java.
• Worked as a Automation Tester / Script Developer (Selenium Web Driver, Java) in a team of 3 members to develop a customized regression test suite.
• Involved in a team of 10 members as a Salesforce Developer & Administrator to handle the development/maintenance of the eCommerce platform for a prominent client.

Jan 2015 – Apr 2015 · 3 mos · Pune/Pimpri-Chinchwad Area

• Full-Stack Developer with a comprehensive experience in Mobile Application Development.

Jul 2013 – Apr 2014 · 9 mos · Pune/Pimpri-Chinchwad Area

• Intern for undergraduate final year project. Designed and developed a web portal to manage & track the parcels sent between different offices of an organization.