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Hi, I’m Samarasimha Reddy Donapati, an AI/ML engineer based in California, USA, with 4+ years designing and deploying production-grade machine learning systems, generative AI solutions, and MLOps pipelines. I’ve led end-to-end model lifecycle management from data engineering and experimentation to CI/CD deployment on AWS and GCP, delivering measurable business impact by reducing inference latency, lowering cloud costs, and accelerating time-to-market for AI features. I’ve built LLM-powered solutions using OpenAI, LangChain, and Hugging Face across multiple industries in India and the U.S. I thrive at translating complex model outputs into business value, collaborating across product and engineering teams, and sharing best practices through knowledge-building sessions. I enjoy turning sophisticated AI results into clear stories that resonate with stakeholders and drive adoption.…Hi, I’m Samarasimha Reddy Donapati, an AI/ML engineer based in California, USA, with 4+ years designing and deploying production-grade machine learning systems, generative AI solutions, and MLOps pipelines. I’ve led end-to-end model lifecycle management from data engineering and experimentation to CI/CD deployment on AWS and GCP, delivering measurable business impact by reducing inference latency, lowering cloud costs, and accelerating time-to-market for AI features. I’ve built LLM-powered solutions using OpenAI, LangChain, and Hugging Face across multiple industries in India and the U.S. I thrive at translating complex model outputs into business value, collaborating across product and engineering teams, and sharing best practices through knowledge-building sessions. I enjoy turning sophisticated AI results into clear stories that resonate with stakeholders and drive adoption.

SAMARASIMHA REDDY DONAPATI

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

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Hi, I’m Samarasimha Reddy Donapati, an AI/ML engineer based in California, USA, with 4+ years designing and deploying production-grade machine learning systems, generative AI solutions, and MLOps pipelines. I’ve led end-to-end model lifecycle management from data engineering and experimentation to CI/CD deployment on AWS and GCP, delivering measurable business impact by reducing inference latency, lowering cloud costs, and accelerating time-to-market for AI features. I’ve built LLM-powered solutions using OpenAI, LangChain, and Hugging Face across multiple industries in India and the U.S. I thrive at translating complex model outputs into business value, collaborating across product and engineering teams, and sharing best practices through knowledge-building sessions. I enjoy turning sophisticated AI results into clear stories that resonate with stakeholders and drive adoption.…Hi, I’m Samarasimha Reddy Donapati, an AI/ML engineer based in California, USA, with 4+ years designing and deploying production-grade machine learning systems, generative AI solutions, and MLOps pipelines. I’ve led end-to-end model lifecycle management from data engineering and experimentation to CI/CD deployment on AWS and GCP, delivering measurable business impact by reducing inference latency, lowering cloud costs, and accelerating time-to-market for AI features. I’ve built LLM-powered solutions using OpenAI, LangChain, and Hugging Face across multiple industries in India and the U.S. I thrive at translating complex model outputs into business value, collaborating across product and engineering teams, and sharing best practices through knowledge-building sessions. I enjoy turning sophisticated AI results into clear stories that resonate with stakeholders and drive adoption.

Available to hire

Hi, I’m Samarasimha Reddy Donapati, an AI/ML engineer based in California, USA, with 4+ years designing and deploying production-grade machine learning systems, generative AI solutions, and MLOps pipelines. I’ve led end-to-end model lifecycle management from data engineering and experimentation to CI/CD deployment on AWS and GCP, delivering measurable business impact by reducing inference latency, lowering cloud costs, and accelerating time-to-market for AI features.

I’ve built LLM-powered solutions using OpenAI, LangChain, and Hugging Face across multiple industries in India and the U.S. I thrive at translating complex model outputs into business value, collaborating across product and engineering teams, and sharing best practices through knowledge-building sessions. I enjoy turning sophisticated AI results into clear stories that resonate with stakeholders and drive adoption.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Machine Learning Engineer II at NovaMind AI Solutions

January 1, 2025 - Present

Architected a Retrieval-Augmented Generation (RAG) system using LangChain, GPT-4, and Pinecone to power an internal knowledge assistant, reducing analyst research time by 47% and supporting over 1,200 daily queries. Fine-tuned a domain-specific LLaMA-2-13B model via QLoRA on proprietary financial data, achieving a 22-point ROUGE-L improvement over GPT-3.5 with 38% lower inference cost. Built end-to-end MLOps pipelines on AWS SageMaker for data validation, model training, evaluation, and blue/green deployments, shrinking release cycles from 3 weeks to under 5 days. Designed a real-time anomaly-detection microservice with FastAPI + PyTorch, deployed on Kubernetes, processing 50K events/min with sub-80ms latency at the 99th percentile. Collaborated with product teams to embed LLM-generated summaries into dashboards, driving a 19% lift in user engagement post-launch. Led knowledge-sharing sessions on prompt engineering and LangChain, standardizing GenAI tooling across a 12-person team. Red

Machine Learning Engineer at Quantela Technology Pvt. Ltd.

July 1, 2021 - November 30, 2022

Developed a multi-class text classification pipeline using BERT fine-tuned on customer support tickets, increasing routing accuracy from 61% to 89% and reducing manual triage by 35%. Built an automated feature engineering framework using PySpark and Airflow to standardize data prep across six ML projects, cutting data preparation time from 4 days to under 14 hours. Implemented a product recommendation engine using collaborative filtering and XGBoost, boosting average order value by 12% in an A/B test with 40K users. Deployed models as REST APIs on GCP Cloud Run with Docker + FastAPI, achieving 99.6% uptime over six months. Migrated legacy Pandas ETL jobs to PySpark, reducing pipeline runtime by 68% on a 10M-row daily dataset. Wrote unit and integration tests (pytest) increasing test coverage from 34% to 82%.

Systems Engineer / ML Associate at Infosys Limited

May 1, 2020 - June 30, 2021

Rotated through the AI/ML Centre of Excellence, contributing to NLP and computer vision PoCs. Developed a sentiment analysis module for a retail client using VADER and logistic regression, delivering a dashboard that reduced brand-monitoring turnaround from 48 hours to near real-time. Automated data ingestion and quality checks with Python and Apache Kafka, handling up to 200K messages/day with <0.3% message loss. Assisted in deploying a pilot fraud detection model (Random Forest + SMOTE) that flagged 91% of synthetic fraud cases in UAT.