Samrudhi G.

AI/ML Engineer @ Eli Lilly and Company

About

AI/ML Engineer with 4+ years of experience delivering scalable machine learning and data-driven solutions across healthcare and automotive sectors. Proven expertise in Generative AI (GPT-4, Hugging Face, RAG), NLP (BERT, NER, adverse event detection), and time-series forecasting (LSTM, ARIMA, Prophet). Adept at building end-to-end ML pipelines, leveraging cloud platforms (AWS, Azure, GCP), and implementing MLOps (Docker, Kubernetes, MLflow) to drive measurable business impact. Passionate about making AI accessible and impactful in real-world applications through collaboration, innovation, and technical excellence. 💡 Key Skills & Expertise: Programming: Python, SQL, FastAPI, Flask, LangChain Machine Learning & Modeling: XGBoost, Random Forest, Logistic Regression, LSTM, ARIMA, Prophet, SciPy NLP & GenAI: GPT-4, GPT-2, Hugging Face Transformers, spaCy, NLTK, BERT, NER, RAG, Prompt Engineering Data Engineering & MLOps: PySpark, Apache Spark, AWS SageMaker, AWS Lambda, Docker, Kubernetes, CI/CD, MLflow Data Stores & Pipelines: Snowflake, DynamoDB, AWS Glue, Airflow, HL7/FHIR-compliant stores Compliance & Monitoring: HIPAA, GDPR, Apache Atlas, Great Expectations, Prometheus, Grafana Visualization & Collaboration: Power BI, Tableau, Excel Dashboards, Confluence, Jira 🔍 Actively seeking full-time opportunities in AI/ML and data science roles, where I can apply my technical expertise and healthcare domain knowledge to solve high-impact problems. 📬 Let’s Connect! If you’re looking for an AI/ML Engineer with strong cloud, ML, and NLP capabilities to drive innovation and impact, I’d love to connect!

Country

City

United States

Industry

Pharmaceuticals

Skill

gen ai, Retrieval-Augmented Generation (RAG), Amazon Web Services (AWS), Supervised Learning, Unsupervised Learning, EDA, SQL Server Integration Services (SSIS), ASP.NET, Google Cloud Platform (GCP), Large Language Models (LLM), Exploratory Data Analysis, Client Requirements, User Requirements, Visualization, Learning, Presentations, Analytics, Statistical Analysis, Data Quality, Extract, Transform, Load (ETL)

Experience

AI/ML Engineer

Eli Lilly and Company

2025-1 - 2026-4 · 1 yr 4 mos

United States

-Designed and deployed RAG-based AI solutions using GPT-4, GPT-2, and Hugging Face, delivering more accurate and reliable clinical trial insights. -Applied BERT, spaCy, and NLTK for NER and adverse event detection from EHR/EMR data, enabling early identification of drug side effects. -Engineered feature pipelines with PySpark, Airflow, Snowflake, and Feast, ensuring scalable model training and feature reuse across ML workflows. -Designed synthetic data pipelines using VAEs and DALL·E for augmenting rare clinical event datasets, reducing model bias in underrepresented cohorts. -Optimized multi-cloud ML workflows (AWS SageMaker, Azure ML, GCP AI Platform) with Docker, Kubernetes, and MLflow, reducing training costs by 22%. -Automated FastAPI/Flask microservices for model deployment and integrated MySQL/DynamoDB stores, enabling secure and low-latency inference. -Collaborated with cross-functional teams using Jira, Confluence, Git, and Excel Dashboards to track experiments, monitor KPIs, and communicate insights to stakeholders

Associate Software Engineer

Accenture

2021-6 - 2023-6 · 2 yrs 1 mo

India

-Developed and optimized backend systems supporting the procure-to-pay workflow, enhancing transaction reliability and reducing data processing time. -Collaborated with cross-functional teams to implement scalable solutions for clients like GEA, ACCOR, and SANOFI, resulting in a 25% increase in operational efficiency and a 15% reduction in costs. -Migrated over 40 enterprise client mailboxes from POP3 to Microsoft Graph ROPC, significantly reducing upgrade time and improving email retrieval speeds for 10,000+ end users. -Resolved high-priority (P1) incidents within SLA, mitigating critical business disruptions and ensuring system performance stability.