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I am Sriram Banothu, an AI/ML Engineer with over 10 years of experience designing, developing, and deploying end-to-end ML, NLP, and Generative AI solutions across telecom, consumer goods, and enterprise automation. I specialize in turning data into actionable strategies, building scalable data pipelines, and delivering production-ready AI that respects compliance and governance. I excel in practical MLOps, cloud-native deployments on AWS, Azure, and GCP, and hands-on work with LLMs, RAG, LangChain, and prompt engineering. I'm passionate about ethical AI, stakeholder collaboration, and translating complex research into reliable solutions that drive measurable business impact.…I am Sriram Banothu, an AI/ML Engineer with over 10 years of experience designing, developing, and deploying end-to-end ML, NLP, and Generative AI solutions across telecom, consumer goods, and enterprise automation. I specialize in turning data into actionable strategies, building scalable data pipelines, and delivering production-ready AI that respects compliance and governance. I excel in practical MLOps, cloud-native deployments on AWS, Azure, and GCP, and hands-on work with LLMs, RAG, LangChain, and prompt engineering. I'm passionate about ethical AI, stakeholder collaboration, and translating complex research into reliable solutions that drive measurable business impact.

Sriram Banothu

Data Scientist, AI Engineer, Full Stack Developer, +2

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I am Sriram Banothu, an AI/ML Engineer with over 10 years of experience designing, developing, and deploying end-to-end ML, NLP, and Generative AI solutions across telecom, consumer goods, and enterprise automation. I specialize in turning data into actionable strategies, building scalable data pipelines, and delivering production-ready AI that respects compliance and governance. I excel in practical MLOps, cloud-native deployments on AWS, Azure, and GCP, and hands-on work with LLMs, RAG, LangChain, and prompt engineering. I'm passionate about ethical AI, stakeholder collaboration, and translating complex research into reliable solutions that drive measurable business impact.…I am Sriram Banothu, an AI/ML Engineer with over 10 years of experience designing, developing, and deploying end-to-end ML, NLP, and Generative AI solutions across telecom, consumer goods, and enterprise automation. I specialize in turning data into actionable strategies, building scalable data pipelines, and delivering production-ready AI that respects compliance and governance. I excel in practical MLOps, cloud-native deployments on AWS, Azure, and GCP, and hands-on work with LLMs, RAG, LangChain, and prompt engineering. I'm passionate about ethical AI, stakeholder collaboration, and translating complex research into reliable solutions that drive measurable business impact.

Available to hire

I am Sriram Banothu, an AI/ML Engineer with over 10 years of experience designing, developing, and deploying end-to-end ML, NLP, and Generative AI solutions across telecom, consumer goods, and enterprise automation. I specialize in turning data into actionable strategies, building scalable data pipelines, and delivering production-ready AI that respects compliance and governance.

I excel in practical MLOps, cloud-native deployments on AWS, Azure, and GCP, and hands-on work with LLMs, RAG, LangChain, and prompt engineering. I’m passionate about ethical AI, stakeholder collaboration, and translating complex research into reliable solutions that drive measurable business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Sr. AI/ML Engineer at Fiserv

January 1, 2025 - Present

Delivered a production-grade AI-powered test generation platform 'Worktop' that ingests Jira/Confluence requirements, automates test creation/execution, and analyzes failures. Implemented the Model Context Protocol (MCP) with custom MCP Servers to securely expose external data to LLMs, and built an end-to-end RAG architecture (FAISS for local cache, Pinecone for production) grounded to banking protocols. Orchestrated agent workflows with LangChain to autonomously generate test scripts and auto-update Jira tickets; established a Self-Healing RLHF feedback loop and a CI/CD pipeline on AWS using Terraform, Docker, and GitHub Actions.

Sr AI/ML Engineer at Comcast

August 1, 2023 - December 1, 2024

Designed end-to-end RAG architecture for document intelligence using Azure AI Document Intelligence OCR, pre-processing with OpenCV, and Azure Databricks for indexing. Implemented embedding-based semantic search with Sentence Transformers and Azure AI Search, with cross-encoder reranking for top contexts. Generated structured JSON outputs with chain-of-thought prompts and used LLMs-as-Judges for factuality. Performed parameter-efficient fine-tuning with LoRA/QLoRA on Azure ML and deployed agent workflows with LangGraph for multi-step retrieval, risk analysis, and summation; built a real-time React dashboard with Azure Functions and AKS.

AI/ML Engineer at Charter Communications

December 1, 2019 - July 1, 2023

Transformed Tier-1 bot from a rule-based system to a GenAI-powered assistant by indexing 10M+ transcripts using Google Vector Search, enabling hybrid semantic + keyword retrieval. Built a 200-intent classifier with CNN+RNN and BERT embeddings, guiding context-aware responses and escalation. Implemented few-shot prompting, chain-of-thought reasoning, and LangChain integration with Google Vertex Gemini Pro; developed a real-time dashboard (React) with Cloud Run, and managed model orchestration via Vertex AI Pipelines and Kubeflow; integrated SAP CRM for live data access and audit trails.

Data Scientist at Flair Network Systems Pvt Ltd

January 1, 2016 - August 1, 2019

Built scalable PySpark ETL pipelines on Databricks for unifying data from sales, distribution, and warehouses. Implemented time-series forecasting with LSTM and Prophet, applied feature engineering and external data enrichment, and deployed FastAPI endpoints for model inference. Created dashboards in Power BI/React, automated retraining with MLflow and Airflow, and deployed across cloud platforms using Docker/Kubernetes; achieved 30% forecast accuracy gains and reduced stockouts.

Python Developer at Technotrust Solutions

May 1, 2014 - December 1, 2015

Developed Python ETL pipelines with Pandas/SQLAlchemy, built modular Flask/FastAPI backends, and implemented ML-driven churn/predictive analytics with TF-IDF and sentiment analysis. Automated report generation and built REST APIs, collaborated with cross-functional teams, and introduced CI/CD with GitHub Actions; improved data delivery speed and reduced manual reporting.