Rajan Mehta

Senior Software Engineer - Core AI at Clinc, Inc.
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Contact Information
us****@****om
(386) 825-5501
Location
Irving, Texas, United States, US
Languages
  • Hindi Native or bilingual proficiency
  • English Full professional proficiency
  • Gujarati Native or bilingual proficiency

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Hitesh Modi

I have worked closely with Rajan for about a year as his immediate supervisor. He is result oriented, responsible and technically sound individual. He knows how to map his technical skills to real problems and knows how to work out simple and innovative solutions. He is always ready to put all his energy and time to get the job done. I highly recommend him!

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Credentials

  • Deep Learning: Face Recognition
    LinkedIn
    Mar, 2019
    - Nov, 2024
  • Healthcare Analytics: Regression in R
    LinkedIn
    Mar, 2019
    - Nov, 2024
  • Building a Recommendation System with Python Machine Learning & AI
    LinkedIn
    Feb, 2019
    - Nov, 2024
  • Bayesian Networks for Research, Analytics, and Reasoning
    Bayesia
    Sep, 2017
    - Nov, 2024

Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Senior Software Engineer - Core AI
      • Jun 2023 - Present

      - Within the Core Technology team of Clinc, I'm leading the development of the next-generation conversational search systems using state of the art in NLP, Information Retrieval, and Dialog Management, thereby enhancing the client experience.

    • Software Engineer III - AI
      • May 2021 - May 2023

      - Maintaining BankAPI, a service that abstracts customer/partner APIs to make generic calls for users' profiles and banking data. Clinc's Virtual Banking Assistant uses this service to incorporate end-user's data into an ongoing conversation.- Oversaw back-end integrations for all banking customers as well as partners like Finastra, Alkami, and Q2.- Contributed to front-end integrations with CX and contact-center-solution platforms like Genesys Cloud and Unblu.

    • Software Engineer II - AI
      • Jun 2019 - May 2021

      • Developing and maintaining conversational AI systems in Financial Domain.• Design and implement pipelines for data augmentation and testing to maximize targeted improvement of existing NLP systems, and improve quality of both internal and production data.• Build and Integrate end-to-end business logic solutions to solve real-world problems for millions of users.• Educate and manage customers and junior developers in training their AI.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant | Goldenson Center for Actuarial Research
      • Apr 2018 - May 2019

      • Developed a model that predicts the healthy life expectancy of an individual based on 28 variables and actuarial tables. Designed and utilized MySQL database to hold user data, survey data and result data. Automated repeatable task of extracting data. Performed analysis and presented reports to prospective clients • Technologies: MySQL, PHP, Tableau • Developed a model that predicts the healthy life expectancy of an individual based on 28 variables and actuarial tables. Designed and utilized MySQL database to hold user data, survey data and result data. Automated repeatable task of extracting data. Performed analysis and presented reports to prospective clients • Technologies: MySQL, PHP, Tableau

    • United States
    • Information Technology & Services
    • 700 & Above Employee
    • Software Engineer
      • Jun 2016 - Nov 2017

      • Applied data cleaning, data transformation, data reduction and analyzed large structured and unstructured data sets. Utilized SQL and NoSQL databases to design and create RESTful APIs• Analyzed data coming from 4 million water meters across 46 states in the US. Identified and fixed data issues. Consolidated data across multiple sources with different formats. Built Dashboards, Reports and Geospatial Visualizations that identified problems with meters, meter reading issues, optimal meter manufacturers and models. • Parsed descriptive text fields using Natural Language Processing to extract data. Built Text processing pipelines and performed tasks like named entity recognition, information retrieval, topic modeling and sentiment analysis on a dataset of 6,900 employees• Researched and reverse-engineered an existing library to reduce software development time by 50%. Collaborated with Agile teams in a fast-paced innovative environment• Technologies: JavaScript, Angular, Python, Elasticsearch, D3.js, MongoDB, SQL Show less

    • Software Engineer Intern
      • Jan 2016 - Jun 2016

      • Automated Project Health Monitoring System – Extracted, transformed and loaded (ETL) data from three different database systems on to one MongoDB schema after mapping all variables. Built Dashboards for the project managers to monitor the projects’ performance (metrics and KPIs). Saved time worth 1 day per month• Python, Angular, Node, MongoDB, SQL

Education

  • University of Connecticut School of Business
    Master of Science - MS, Business Analytics and Project Management
    2018 - 2019
  • Ahmedabad University
    Bachelor of Technology (B.Tech.), Information and Communication Technology
    2012 - 2016

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