Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am a Data Scientist and AI/ML Engineer with 4+ years of experience delivering end-to-end machine learning and GenAI solutions across IT services, healthcare, and enterprise tech. I excel at building scalable data pipelines on AWS and GCP, deploying deep learning models, and fine-tuning LLMs for NLP and predictive analytics, all while staying compliant with regulatory standards. I thrive in cross-functional Agile teams and enjoy turning data into real-world impact.…I am a Data Scientist and AI/ML Engineer with 4+ years of experience delivering end-to-end machine learning and GenAI solutions across IT services, healthcare, and enterprise tech. I excel at building scalable data pipelines on AWS and GCP, deploying deep learning models, and fine-tuning LLMs for NLP and predictive analytics, all while staying compliant with regulatory standards. I thrive in cross-functional Agile teams and enjoy turning data into real-world impact.

Rohan Tripathi

Data Scientist, AI Engineer, App Developer, +2





I am a Data Scientist and AI/ML Engineer with 4+ years of experience delivering end-to-end machine learning and GenAI solutions across IT services, healthcare, and enterprise tech. I excel at building scalable data pipelines on AWS and GCP, deploying deep learning models, and fine-tuning LLMs for NLP and predictive analytics, all while staying compliant with regulatory standards. I thrive in cross-functional Agile teams and enjoy turning data into real-world impact.…I am a Data Scientist and AI/ML Engineer with 4+ years of experience delivering end-to-end machine learning and GenAI solutions across IT services, healthcare, and enterprise tech. I excel at building scalable data pipelines on AWS and GCP, deploying deep learning models, and fine-tuning LLMs for NLP and predictive analytics, all while staying compliant with regulatory standards. I thrive in cross-functional Agile teams and enjoy turning data into real-world impact.

Available to hire

I am a Data Scientist and AI/ML Engineer with 4+ years of experience delivering end-to-end machine learning and GenAI solutions across IT services, healthcare, and enterprise tech.

I excel at building scalable data pipelines on AWS and GCP, deploying deep learning models, and fine-tuning LLMs for NLP and predictive analytics, all while staying compliant with regulatory standards. I thrive in cross-functional Agile teams and enjoy turning data into real-world impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Data Scientist at HCL Tech

September 1, 2024 - November 5, 2025

Designed and implemented secure, scalable AWS-based data pipelines using AWS Glue, Redshift, and S3 for real-time claims analytics and utilization tracking in healthcare. Built interactive dashboards in Tableau and SSRS to reduce data latency by 30-40%. Developed and deployed GenAI-powered chatbots using Amazon Bedrock and Retrieval-Augmented Generation (RAG) models, integrating Electronic Health Records (EHR) to enhance care navigation and boost member self-service engagement by 20%. Automated HIPAA-compliant model deployment pipelines using AWS CodePipeline, Docker, and GCP Kubernetes, enabling scalable and audit-ready workflows aligned with CMS and NCQA regulatory frameworks. Engineered PostgreSQL and Oracle database systems to support high-volume claims, eligibility, and care coordination processes with a focus on compliance, performance tuning, and data integrity. Built and deployed ML models including Logistic Regression, Gradient Boosting, and CNNs for fraud detection, readmissi

AI/ML Engineer at Hexaware Technologies

July 1, 2023 - July 1, 2023

Led Agile-driven AI/ML initiatives for global enterprise IT clients, designing and deploying end-to-end machine learning solutions using supervised, unsupervised, and reinforcement learning algorithms. Delivered XGBoost-based failure prediction models, reducing IT system downtime by 15%, and NLP workflows using spaCy and BERT, enhancing root-cause analysis and feedback automation by 20%. Architected and implemented deep learning models (CNNs, RNNs, LSTMs, Transformers) for real-time anomaly detection and infrastructure monitoring across IT operations, achieving 90%+ classification accuracy and reducing Mean Time to Resolution (MTTR) through AIOps integrations. Built and maintained scalable ML pipelines leveraging AWS services (SageMaker, EC2, Lambda, S3, Redshift) for real-time telemetry, cloud-to-edge forecasting, and time-series analysis using ARIMA, Prophet, and custom preprocessing models to support predictive maintenance at scale. Fine-tuned Large Language Models (LLMs) with Huggi