Sangeeta Chugh

VP of Engineering

South Delhi, Delhi, India16 yrs 8 mos experience

AI ML PractitionerAI Enabled

Key Highlights

15 years of experience in IT and Research.
Expertise in Generative AI and Natural Language Processing.
Published 8 research papers in esteemed journals.

Stackforce AI infers this person is a Healthcare-focused AI and Data Science expert with extensive experience in NLP and DevOps.

Contact

Skills

Core Skills

DevopsNatural Language Processing (nlp)Machine Learning

Other Skills

AgentsArtificial Intelligence (AI)Azure Cosmos DBAzure DatabricksAzure Form RecognizerBERT (Language Model)ChromaDBComputer VisionData ScienceDeep LearningDockerFlaskGPT-4Generative AIGitHub Actions

About

An AIML enthusiast with over 15 years of experience in IT, Training, Academics, and Research. I have demonstrated expertise in GenAI, LLMs, NLP, Cloud Platforms, and DevOps and have published 8 research papers in esteemed journals.

Experience

Optum global solutions

2 roles

Software Engineering Lead

Promoted

May 2025 – Present · 10 mos · Noida, Uttar Pradesh, India

Associate Manager

Nov 2022 – May 2025 · 2 yrs 6 mos · Noida, Uttar Pradesh, India

RRF for Underwriting Process
Designed and constructed Docker images and remediated vulnerabilities to adhere to the organization's security standards.
Created and deployed a CI/CD pipeline utilizing GitHub Actions, Docker, and Kubernetes.
Developed back-end applications using Python Flask.
Built an ETL pipeline with pandas for the BGDef feature of the application.
Intelligent Agent Systems (As part of GenAI Program)
Developed intelligent agent systems, including a conversational agent using LangChain for natural interactions, a Python-based data analytics agent leveraging pandas and CSV for generating reports from natural language queries, and an SQL agent for retrieving and processing information from various databases based on user queries.
Generative Search System (As part of GenAI Program)
Developed a generative search system for answering questions from health insurance policy PDFs, utilizing advanced NLP techniques. Implemented document chunking and semantic embedding with
SentenceTransformers (HuggingFace) and ChromaDB for efficient retrieval. Enhanced result accuracy with a re-ranking mechanism using cross-encoding models (HuggingFace).
Rebate UMCS
Digitization of UMCS clinical guidelines on diverse documents using azure form recognizer, GPT-4o and advanced prompting techniques, scheduled on weekly basis to digitize over thousands of documents.
Digitization of P&L Database
Developed and validated data pipelines with Azure Databricks, leveraging Pandas, Python, and SQL for data features.

DockerGitHub ActionsKubernetesPythonFlaskpandas+8

Almabetter

Technical Trainer

Jun 2021 – Nov 2022 · 1 yr 5 mos

Served as a Full Stack Data Science Trainer at AlmaBetter

Datastunt

Data Scientist

Jun 2021 – Apr 2022 · 10 mos · Noida, Uttar Pradesh, India

Created an automated multiclass classification model for Twitter complaint support and service improvement using Keras, TensorFlow, Python, and LSTM.
Built a spam classification model for email data utilizing Scikit-learn, Spacy, NLTK, Python, and the Naïve Bayes Classifier.
Developed a multivariate time series prediction model for call center data using LSTM.

KerasTensorFlowPythonLSTMScikit-learnSpacy+2

Amity university, noida

Assistant Professor

Jul 2011 – Apr 2022 · 10 yrs 9 mos · Noida, Uttar Pradesh, India

Leading student teams in Data Science and Machine Learning projects.
Utilized diverse machine learning techniques to develop models for Machine Learning, NLP, and computer vision.
Conducting training sessions on Data Science and Machine Learning.
Organized and Attended Two Week Faculty Development Program on Entrepreneurship Development (in association with Department of Science & Technology) from 28April, 2015 to 13 May 2015 at Amity University, Noida.
Member of Publication Committee in Confluence 2015, and 2016 an International Conference at Amity University, Noida.
Attended various faculty development program and technical workshops Machine Learning, Amazon Cloud, Microsoft Azure.