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Hi, I'm Sai Karthik Reddy, an AI/ML Engineer with 5+ years of experience delivering scalable machine learning and generative AI solutions across cross-functional teams in software development, IT services, and e-commerce. I excel at building cloud-native pipelines on AWS and GCP, fine-tuning LLMs for real-world applications, and driving measurable outcomes through MLOps, agile delivery, and cross-functional collaboration while ensuring security and compliance.…Hi, I'm Sai Karthik Reddy, an AI/ML Engineer with 5+ years of experience delivering scalable machine learning and generative AI solutions across cross-functional teams in software development, IT services, and e-commerce. I excel at building cloud-native pipelines on AWS and GCP, fine-tuning LLMs for real-world applications, and driving measurable outcomes through MLOps, agile delivery, and cross-functional collaboration while ensuring security and compliance.

Sai Karthik Reddy

Data Scientist, AI Engineer, Full Stack Developer, +4

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Hi, I'm Sai Karthik Reddy, an AI/ML Engineer with 5+ years of experience delivering scalable machine learning and generative AI solutions across cross-functional teams in software development, IT services, and e-commerce. I excel at building cloud-native pipelines on AWS and GCP, fine-tuning LLMs for real-world applications, and driving measurable outcomes through MLOps, agile delivery, and cross-functional collaboration while ensuring security and compliance.…Hi, I'm Sai Karthik Reddy, an AI/ML Engineer with 5+ years of experience delivering scalable machine learning and generative AI solutions across cross-functional teams in software development, IT services, and e-commerce. I excel at building cloud-native pipelines on AWS and GCP, fine-tuning LLMs for real-world applications, and driving measurable outcomes through MLOps, agile delivery, and cross-functional collaboration while ensuring security and compliance.

Available to hire

Hi, I’m Sai Karthik Reddy, an AI/ML Engineer with 5+ years of experience delivering scalable machine learning and generative AI solutions across cross-functional teams in software development, IT services, and e-commerce.

I excel at building cloud-native pipelines on AWS and GCP, fine-tuning LLMs for real-world applications, and driving measurable outcomes through MLOps, agile delivery, and cross-functional collaboration while ensuring security and compliance.

Skills

Experience Level

Expert

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Intermediate

Work Experience

AI/ML Engineer (SME) at S&P Global, USA

January 1, 2024 - Present

Contributed to agile AI/ML projects, delivering GenAI-based solutions including an appointment scheduling system using AWS SageMaker, LangChain chains and agents, and LLMs (Claude, GPT-3.5/4). Supported prompt engineering, integration, and optimization, improving scheduling efficiency by 35% with FIFO queue automation and LLM-driven prioritization. Built and deployed NLP pipelines and RAG workflows, monitored model performance and ensured governance/compliance.

AI/ML Engineer at KPIT, India

December 1, 2022 - October 15, 2025

Designed and implemented deep learning models (CNNs, RNNs, LSTMs, Transformers) for anomaly detection and real-time personalization in e-commerce and IT services, achieving 90%+ accuracy and reducing downtime. Built scalable ML pipelines on AWS/GCP, applied time-series models (ARIMA, Prophet) to improve forecasting by 25%, and led MLOps practices, CI/CD, and mentoring.

AI/ML Engineer (SME) at S&P Global

January 1, 2024 - Present

Contributed to Agile AI/ML projects delivering GenAI solutions that enhanced client satisfaction and platform efficacy. Designed and deployed an AI-powered appointment scheduler using AWS SageMaker, LangChain Chains & Agents, and multiple LLMs (Claude, GPT-3.5/4). Implemented prompt engineering and FIFO-based prioritization, boosting scheduling efficiency by 35%. Built API-driven workflows combining LangChain tools with scikit-learn and Faiss for query classification and feedback-ticket linking. Developed LLM-based NLP pipelines (semantic similarity, summarization, clustering) using Hugging Face transformers; containerized with Docker and deployed on AWS EKS. Implemented RAG pipelines with Bedrock and Redshift for grounded responses. Established MLOps with SageMaker Pipelines, MLflow, and GitHub Actions for reproducible training and CI/CD. Set up monitoring for hallucinations, drift, and latency; supported SOC2-aligned governance and PII masking; mentored interns.

AI/ML Engineer at KPIT

December 1, 2022 - October 15, 2025

Designed deep learning models (CNNs, RNNs, LSTMs, Transformers) for anomaly detection, customer behavior prediction, and real-time personalization in e-commerce and IT services, achieving 90%+ accuracy and reducing downtime. Built scalable ML pipelines on AWS (SageMaker, EC2, Lambda, Redshift, S3) for large-scale data ingestion, forecasting, and analytics, leveraging ARIMA/Prophet and advanced time-series approaches. Developed XGBoost-based risk scoring engines and NLP pipelines (spaCy, BERT) for unstructured data, automating decision workflows and improving operational efficiency by ~20%. Led Agile AI/ML initiatives, mentoring juniors on MLOps practices and deploying via IaC (Terraform). Fine-tuned LLMs for automated log summarization, ticket classification, and chatbots, enhancing service desk productivity. Containerized and deployed models with Docker, Kubernetes, and Terraform across AWS/GCP. Applied TensorFlow, PyTorch for predictive analytics, fraud detection, and computer vision