I am an AI/ML Engineer with 5 years of experience in developing and deploying data-driven solutions that significantly improve business outcomes. I specialize in leveraging advanced AI technologies, including Generative AI and Retrieval-Augmented Generation (RAG), to engineer scalable, high-performance applications. I excel at end-to-end machine learning workflows—from data preprocessing and model training to deployment and monitoring. I am committed to building robust, efficient systems, continuously integrating emerging technologies to deliver innovative, business-aligned solutions.

Srikar Tharala

I am an AI/ML Engineer with 5 years of experience in developing and deploying data-driven solutions that significantly improve business outcomes. I specialize in leveraging advanced AI technologies, including Generative AI and Retrieval-Augmented Generation (RAG), to engineer scalable, high-performance applications. I excel at end-to-end machine learning workflows—from data preprocessing and model training to deployment and monitoring. I am committed to building robust, efficient systems, continuously integrating emerging technologies to deliver innovative, business-aligned solutions.

Available to hire

I am an AI/ML Engineer with 5 years of experience in developing and deploying data-driven solutions that significantly improve business outcomes. I specialize in leveraging advanced AI technologies, including Generative AI and Retrieval-Augmented Generation (RAG), to engineer scalable, high-performance applications.

I excel at end-to-end machine learning workflows—from data preprocessing and model training to deployment and monitoring. I am committed to building robust, efficient systems, continuously integrating emerging technologies to deliver innovative, business-aligned solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Work Experience

AI/ML Engineer Intern at Procial Inc
May 1, 2025 - Present
Assisted in building and deploying Generative AI and multi-agent systems for data automation and insights generation. Developed retrieval-augmented pipelines using LangChain and Pinecone for semantic data search and contextual chat. Contributed to model fine-tuning and evaluation using custom metrics to improve LLM accuracy and response consistency. Supported infrastructure automation using Terraform and FastAPI for scalable, cloud-native GenAI deployments. Collaborated with AI research team to optimize prompt chaining and tool integration for enterprise use cases.
AI/ML Solutions Engineer at Zensar Technologies
October 1, 2022 - July 31, 2023
Designed and implemented Generative AI-based solutions across banking and modernization domains using GPT-4, Gemini Pro, and Vertex AI. Built a Basel III and IFRS 9 regulatory report generator using Spark and Terraform, reducing manual work by 75%. Developed a credit risk assessment model with Explainable AI (XAI) and AutoML, boosting automated loan approvals by 30%. Created an AI-driven SOAP to REST API converter with LangChain and OpenAI GPT-4-turbo, cutting modernization effort by 70%. Designed serverless architectures on Azure and GCP using FastAPI, Cloud Functions, and Terraform for scalability.
AI/ML Engineer at Prox Technologies
January 1, 2022 - October 31, 2022
Developed AI-powered voice banking chatbot integrating LLMs, Dialogflow CX, and RAG, improving accuracy by 40%. Implemented RAGAS-based evaluation pipelines to ensure high-fidelity retrieval and model output consistency. Designed serverless AI systems using FastAPI, Cloud Functions, and Terraform for cost-efficient scalability. Led internal workshops on prompt engineering and enterprise LLM adoption for engineering teams. Integrated Gemini Pro and Vertex AI to enhance chatbot personalization and response latency.
Cloud AI Engineer at Carbon cell
June 1, 2019 - December 31, 2021
Contributed to AI-based social analytics platform using ML-driven recommendation systems. Designed and trained real-time recommendation algorithms using TensorFlow, Scikit-learn, and NLP transformers. Implemented content classification and moderation using Hugging Face-based NER and sentiment models. Deployed microservices and APIs using Docker and AWS Lambda with >99.9% uptime across production workloads. Collaborated with cross-functional teams to integrate ML insights into user engagement workflows, improving retention rates.

Education

Master of Science in Computer Science at Central Michigan University
August 1, 2023 - May 1, 2025

Qualifications

AWS Certified Solutions Architect – Associate
January 11, 2030 - December 22, 2025
Celonis Data Mining Certificate
January 11, 2030 - December 22, 2025

Industry Experience

Software & Internet, Financial Services, Professional Services, Media & Entertainment, Education