Summary
Overview
Work History
Education
Skills
Websites
Certification
Timeline
Generic

K Sri Harsha

Hindupur

Summary

Experienced NLP and Data Scientist with over 4 years of expertise in designing machine learning models and developing scalable, end-to-end data pipelines. Proven ability to deliver production-grade solutions in the healthcare and insurance sectors, utilizing Python, FastAPI, Flask, and cloud platforms. Skilled in extracting actionable insights from complex datasets to support strategic business decisions. Seeking a Data Science Engineer position to apply advanced AI techniques, optimize development workflows, and contribute to impactful, data-driven outcomes.

Overview

4
4
years of professional experience
1
1
Certification

Work History

Software Development Engineer

BTC
01.2021 - Current


  • Contributed to the design and implementation of reliable payroll processing APIs and data pipelines at Paychex, managing complex employee data workflows and ensuring data accuracy and system robustness for a leading U.S. financial services firm.
  • Improved backend systems to streamline service delivery for early intervention programs. Reduced manual processes, enhancing data accuracy and staff efficiency. Supported scalable infrastructure to help Thom reach over 10,000 families annually.
  • Built and deployed scalable RESTful APIs on AWS using Docker, enabling users to effortlessly track blood glucose trends and receive real-time health insights—improving diabetes management and enhancing user engagement through Firebase integration.
  • Automated the extraction and classification of SOAP notes into valid ICD-10 codes, significantly improving efficiency and reducing costs compared to manual coding by human coders.
  • Optimized the read / write operation on an InnoDB cluster by indexing the table with 600GB of data and reduced the billing on Aurora RDS.
  • Built an internal Project Monitoring Tool using Flask to centralize Sonar API reports and uploaded VAPT reports, making it easier to track project status in one place.
  • Developed a Machine Learning Solution using Random Forests to predict the likelihood of Health care providers accepting a Ambulance Service Request.
  • Pytorch, AI Agents, llama, Flask, FastAPI, RubyonRails, AWS SNS, EC2, Lambda, APNS, S3, MySQL, Postgres, Docker, SNS, phidata, LLamaIndex, GridSearchCV, Peft, LORA, pytest-playwright.

Data Science Engineer

Ushur
12.2021 - 07.2023
  • Company Overview: A company that provides AI-powered solutions for automating processes in healthcare and insurance.
  • Built AI-powered solutions for insurance email classification, automating appeals and grievance processes in healthcare, increasing operational efficiency with Ushur's Smart Mail solution.
  • Built a YOLOv3-based Information Extraction pipeline to convert unstructured insurance claim documents into structured key-value data, accelerating RDP quote generation and streamlining the overall claims workflow by 50%.
  • Automated the extraction and transformation of census tables using NLP techniques, reducing manual effort by 80% and processing time by 70%, thereby eliminating the need for human intervention in repetitive data handling tasks.
  • Applied NLP concepts like TfIdf Vectorizer to identify the table headers in an Excel File and Bert NLI for Desired columns to calculate Employee Benefits and thereby reducing RFP Response time from 1 week to 3 hours.
  • Redesigned application flow and integrated Hydra to manage configurations in a scalable, modular fashion-improving code clarity, reducing manual overhead in experiment setup, and streamlining hyperparameter management.
  • Worked with the team to develop and test a custom parser using Lark Grammar, enabling users to convert English sentences into Pandas code and dynamically modify coverage amounts to calculate insurance premiums.
  • Python, keras, Tensorflow, sci-kit learn, spacy, NLP, pandas, Numpy, FastAI, Decision Trees, Random Forests, PCA.
  • A company that provides AI-powered solutions for automating processes in healthcare and insurance.

Education

M.Tech - Artificial Intelligence

JNTU
02.2021

Skills

  • Python
  • Ruby
  • Java
  • JavaScript
  • ReactJS
  • HTML
  • CSS
  • MySQL
  • PostgresSQL
  • MongoDB
  • DynamoDB
  • VectorDB
  • Fastapi
  • Flask
  • Pytorch
  • Keras
  • NLTK
  • MLflow
  • Hydra
  • Scikit-learn
  • Matplotlib
  • Seaborn
  • Spacy
  • LlamaIndex
  • AWS
  • EC2
  • CI/CD
  • S3
  • SNS
  • Lambda
  • Docker
  • Spring MVC
  • SpringBoot
  • Rails
  • Git
  • Bitbucket
  • Gitlab
  • Backend development

Certification

  • Deep Learning Specialization from PadhAI
  • Natural Language Specialization from Coursera
  • Machine Learning and Deep Learning Specialization on Coursera
  • Deep Dive in to Transformers, BERT and Tokenizers from AI4Bharath

Timeline

Data Science Engineer

Ushur
12.2021 - 07.2023

Software Development Engineer

BTC
01.2021 - Current

M.Tech - Artificial Intelligence

JNTU

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