Lead AI Engineer (Generative AI)

Elastic Co.• February 2024 - Present • (Pune, India)

• Org-wide RAG Implementation
  

  Spearheading org-wide RAG development.

Senior Machine Learning Engineer

Synapse Financial Technologies Inc. • December 2019 - February 2024 • (San Francisco, CA)

• Expedited KYC Process
  

  Developed an AI-driven ID verification system, reducing onboarding time from hours to seconds and streamlining the authentication of users' government-issued documents.
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• Innovative System Design
  

  Created a "Video Auth" solution using speech-to-text and facial recognition, validating users in under 20 seconds by comparing videos with their respective government-issued IDs.
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• Advanced Automation
  

  Designed an NLP and ML-based automation system to optimize due diligence procedures, assessing platform eligibility in just 15 seconds through web scraping, sentiment analysis, and industry categorization.

• Enhanced Security
  

  Developed user-friendly products like Remote Deposit Capture, real-time SSN Verification, and Sanctions Monitoring, increasing compliance effectiveness by 2x by mitigating risks of fake accounts and fraudulent transactions.

• System Scalability
  

  Rearchitected systems to seamlessly manage over a million requests per day through efficient caching, asynchronous processes, robust APIs, and optimized database implementation.

• Global Expansion
  

  Enabled worldwide user onboarding by creating configurable modules seamlessly integrating with multiple local vendors, significantly broadening the platform's global reach.

• "ID Score"
  

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Data Scientist

Gemini Data Inc. • May 2019 - December 2019 • (San Francisco, CA)

• Data Engineering
  

  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.

• Regex Pattern Generation
  

  Alleviated log analytics pipeline by 80% by writing software to extract regex combinations from unstructured log data to automatically parse & organize incoming real-time streams.

Machine Learning Engineer (Intern)

GoCollect • February 2019 - Present • (Charlotte, NC)

• AI-based UX Enhancement
  

  Engineered a Computer Vision-based Deep Learning pipeline autonomously on Google Cloud Platform to accurately identify a comic book based on an image, decreasing search time by 30% as compared to text-based search.

• Predictive Analytics
  Predicted the sales price range of comic books on a 5-figure scale by analyzing a dataset of 33 million records from the GoCollect platform in Python using TensorFlow.

Machine Learning Engineer in Computer Vision (Intern)

Welch Labs • October 2018 - Present • (Charlotte, NC)

• Modular Algorithm Design
  

  Partnered with Microsoft & SpyGlass to reduce the false positive identification rate of defective windshields by 99.95% by implementing an ensemble of Convolutional SVMs and CNNs using OpenCV and Keras in Python.

• Increased Savings
  Projected to save USD 1 million per quarter. Targeting to optimize the model to have an 8s response time during inference after deploying as an Azure Machine Learning Web Service (REST API).

Machine Learning Engineer (Intern)

Zuora • June 2018 - August 2018 • (San Francisco, CA)

• Business Process Improvement
  Increased Zuora’s live support agent involvement by ~75% by building a 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 Machine Learning techniques to automate access validation to Salesforce.com orgs in Zendesk.

Data Analyst (Graduate Research Assistant)

UNC Charlotte • February 2018 - April 2019 • (Charlotte, NC)

• Data Analysis
  Increased faculty-department engagement by creating Tableau storyboards for executive show-and-tells by accurately visualizing and analysing 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.

Application Development Analyst

Accenture • April 2015 - July 2017 • (Pune, India)

Salesforce.com SME & Specialist

• Application Development & Maintenance
  Led the E2E delivery of an e-commerce platform for a leading client. Acted as the Lead Salesforce.com Developer and Team Lead for the client’s first-ever implementation of a cloud-on-cloud model.
• System Overhaul
  Facilitated complete overhaul of a Purchase Order flow by developing key delivery components. Augmented Sales Reps efficiency by 50% by deploying advanced automation processes via Salesforce.com customization & configuration.

Software Developer

Prudencity • January 2015 - April 2015 • (Pune, India)

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

Software Engineering Intern

Tata Research Development & Design Center • July 2013 - April 2014 • (Pune, India)

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