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I am Sritonya, a Senior AI/ML, Generative AI, and Agentic AI Engineer with 10+ years of experience delivering enterprise-scale AI solutions, cloud-native architectures, and scalable distributed systems across industries. I specialize in Generative AI, LLMs, AI Agents, RAG, prompt engineering, fine-tuning, and responsible AI practices, with a strong focus on business impact and digital transformation. I design end-to-end AI platforms—from knowledge management and conversational agents to real-time analytics and secure cloud deployments—combining data engineering, ML engineering, and governance to empower large organizations in banking, healthcare, insurance, and beyond.…I am Sritonya, a Senior AI/ML, Generative AI, and Agentic AI Engineer with 10+ years of experience delivering enterprise-scale AI solutions, cloud-native architectures, and scalable distributed systems across industries. I specialize in Generative AI, LLMs, AI Agents, RAG, prompt engineering, fine-tuning, and responsible AI practices, with a strong focus on business impact and digital transformation. I design end-to-end AI platforms—from knowledge management and conversational agents to real-time analytics and secure cloud deployments—combining data engineering, ML engineering, and governance to empower large organizations in banking, healthcare, insurance, and beyond.

Sritonya

AI Engineer, AI Developer, Data Scientist, +2

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I am Sritonya, a Senior AI/ML, Generative AI, and Agentic AI Engineer with 10+ years of experience delivering enterprise-scale AI solutions, cloud-native architectures, and scalable distributed systems across industries. I specialize in Generative AI, LLMs, AI Agents, RAG, prompt engineering, fine-tuning, and responsible AI practices, with a strong focus on business impact and digital transformation. I design end-to-end AI platforms—from knowledge management and conversational agents to real-time analytics and secure cloud deployments—combining data engineering, ML engineering, and governance to empower large organizations in banking, healthcare, insurance, and beyond.…I am Sritonya, a Senior AI/ML, Generative AI, and Agentic AI Engineer with 10+ years of experience delivering enterprise-scale AI solutions, cloud-native architectures, and scalable distributed systems across industries. I specialize in Generative AI, LLMs, AI Agents, RAG, prompt engineering, fine-tuning, and responsible AI practices, with a strong focus on business impact and digital transformation. I design end-to-end AI platforms—from knowledge management and conversational agents to real-time analytics and secure cloud deployments—combining data engineering, ML engineering, and governance to empower large organizations in banking, healthcare, insurance, and beyond.

Available to hire

I am Sritonya, a Senior AI/ML, Generative AI, and Agentic AI Engineer with 10+ years of experience delivering enterprise-scale AI solutions, cloud-native architectures, and scalable distributed systems across industries. I specialize in Generative AI, LLMs, AI Agents, RAG, prompt engineering, fine-tuning, and responsible AI practices, with a strong focus on business impact and digital transformation.

I design end-to-end AI platforms—from knowledge management and conversational agents to real-time analytics and secure cloud deployments—combining data engineering, ML engineering, and governance to empower large organizations in banking, healthcare, insurance, and beyond.

Skills

Experience Level

Expert

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Expert

Work Experience

Senior AI/ML & Generative AI Engineer at AgFirst

August 1, 2023 - Present

Led enterprise-scale Generative AI and Agentic AI initiatives for banking customer service automation, knowledge retrieval, and compliance using Azure OpenAI, OpenAI GPT-4, LangChain, LangGraph, CrewAI, and AutoGen. Implemented Retrieval-Augmented Generation with Pinecone, ChromaDB, FAISS, Elasticsearch for contextual knowledge management and secure banking document intelligence. Built multi-agent AI workflows and autonomous AI orchestration pipelines for fraud investigation, AML validation, and transaction analysis; delivered AI-powered conversational banking assistants and API integrations. Implemented MLOps pipelines with MLflow, Kubeflow, Docker, Kubernetes, Jenkins, GitHub Actions, and Terraform; ensured governance, explainability, observability, and regulatory compliance. Developed intelligent document processing, OCR automation, and enterprise knowledge retrieval systems.

AI/ML Engineer at Abbvie

November 1, 2021 - July 1, 2023

Developed enterprise AI/ML solutions for healthcare analytics, patient risk prediction, clinical decision support, and automation. Built NLP pipelines for EMR/EHR data; designed conversational healthcare assistants using OpenAI APIs, LangChain, RAG architectures, and semantic search. Developed predictive models for disease risk, readmission, and treatment outcomes; implemented OCR-based healthcare document intelligence; engineered HIPAA-compliant data processing pipelines with Kafka, Spark, Databricks, Airflow. Built REST APIs and microservices; implemented semantic search and knowledge retrieval; created healthcare dashboards in Tableau/Power BI. Led ML lifecycle with MLflow, Docker, Kubernetes; collaborated with clinicians and compliance teams.

Machine Learning Engineer at Emc Insurance

May 1, 2019 - October 1, 2021

Developed enterprise ML solutions for insurance claims processing, underwriting analytics, fraud detection, customer risk assessment, and policy management systems. Built NLP and text analytics workflows for automated claims classification, policy document analysis, customer sentiment analysis, and intelligent insurance document processing. Designed predictive analytics and fraud detection models using Scikit-Learn, TensorFlow, XGBoost, and statistical algorithms to identify fraudulent claims and high-risk policy activities. Developed recommendation systems and customer analytics platforms to improve customer engagement, policy recommendations, and operational decision-making processes. Built ETL pipelines and distributed data processing workflows using Apache Spark, Hadoop, Hive, SQL, and Airflow for large-scale insurance data transformation and analytics processing. Developed RESTful APIs, backend services, and AI integration layers using Flask, FastAPI, Python, and microservices arc

Software Engineer / Data Engineer at Careator Technologies Pvt Ltd

May 1, 2017 - February 1, 2019

Developed enterprise backend applications, data processing systems, and business intelligence solutions using Python, Java, SQL, and distributed data processing technologies. Designed ETL workflows, data ingestion pipelines, and transformation frameworks using Apache Spark, Hadoop, Hive, Talend, and SQL for enterprise reporting and analytics platforms. Built REST APIs, backend integration services, and microservices using Flask, Spring Boot, Java, and Python to support enterprise application integration and automation requirements. Worked on large-scale data cleansing, validation, transformation, and reporting solutions for business operations and enterprise analytics initiatives. Integrated enterprise systems with Kafka messaging platforms and distributed processing frameworks for real-time data exchange and scalable event-driven architectures. Developed Tableau and Power BI dashboards for KPI reporting, operational analytics, business intelligence, and executive reporting requirement

Junior Software Engineer at Amigos IT Solutions

January 1, 2016 - April 1, 2017

Developed and maintained backend enterprise applications, database-driven systems, and internal business applications using Java, Python, SQL, HTML, CSS, and JavaScript technologies. Assisted in ETL development, reporting workflows, database integration activities, and enterprise data migration projects for business operations and analytics requirements. Worked on SQL query optimization, stored procedures, database tuning, and relational database management activities across SQL Server, Oracle, and MySQL environments. Developed REST APIs, automation scripts, and backend integration services for internal enterprise applications and operational workflows. Participated in software testing, debugging, deployment support, defect resolution, and application maintenance activities within enterprise development environments. Collaborated with development teams, QA, infrastructure, and business stakeholders to support software delivery, issue tracking, and project execution activities. Supporte