Looking for a job

Surabhi Sethi

@surabhisethi

Message

I lead Agentic AI and ML systems that improve accuracy, scalability, and operational efficiency.

India

Message

What I'm looking for

I'm looking to lead and build impactful Agentic AI and machine-learning products, improving model scalability, safety, reliability, and performance while mentoring cross-functional teams.

At Accenture, I lead life sciences Agentic AI initiatives from requirements analysis through Agile delivery, aligning cross-functional teams and client stakeholders.

I build LLM prompt-engineering workflows with GPT and RAG, integrate AWS RDS and S3 pipelines, and orchestrate end-to-end MLOps workflows with CI/CD, monitoring, and automated deployment. My model fine-tuning work improved large language model accuracy and scalability by 20%.

I also create AI agents with Bedrock, OpenAI, LangSmith, DynamoDB, and Redshift, delivering chatbot insights and visualizations that improved time, effort, and efficiency by 70%. Earlier, I developed machine-learning solutions at FedEx, Konverge.AI, and DRDO, spanning customer classification, graph-based route handling, and real-time health monitoring.

I'm motivated by practical, reliable AI systems—combining GenAI, NLP, computer vision, cloud platforms, and governance techniques to improve safety, performance, usability, and scale.

Experience

Work history, roles, and key accomplishments

Current

Senior ML Engineer-Team Lead

Current

Accenture

Dec 2024 - Present (1 year 9 months)

Led life sciences Agentic AI initiatives, developing LLM-based prompt engineering workflows and orchestrating end-to-end ML pipelines with MLOps best practices. Improved LLM accuracy and scalability by 20% through fine-tuning and managed client engagements.

Agentic AI LLM Prompt Engineering RAG AWS MLOps CI CD Langsmith PydanticAI MCP React Bedrock OpenAI DynamoDB Redshift Governance

Machine Learning Engineer

FedEx

Nov 2022 - Nov 2024 (2 years)

Collaborated with cross-functional teams for requirement analysis and project roadmaps. Conducted R&D for model selection and deployment, and implemented keyword extraction for customer classification.

Machine Learning Model Optimization Feature Engineering NLP Python AWS Docker Kubernetes LangGraph AWS ECS Next.js MCP Orchestration Lang Chain Vector Databases

Sr. Software Engineer

Konverge.AI

Mar 2022 - Nov 2022 (8 months)

Ingested data into TigerGraph database and formed a graph, enhancing it with additional edges and nodes for truck route handling. Utilized a supply-demand algorithm to calculate pick-ups and deliveries across vendors.

TigerGraph Graph Databases Demand Forecasting Algorithms Data Ingestion Python

Senior Research Fellow

DRDO

Jan 2022 - Feb 2022 (1 month)

Developed a real-time health monitoring system using Python, gathering sensor data and performing EDA. Trained supervised learning models and deployed using TensorFlow with a QT-based GUI.

Python TensorFlow Qt Framework SVM Logistic Regression EDA Sensor Data Real time Monitoring

Junior Research Fellow

DRDO

Jan 2020 - Jan 2022 (2 years)

Developed a real-time clustering algorithm to track moving targets using static sensors. Utilized data association techniques including K-means clustering and Extended Kalman Filter on heterogeneous sensor data.

KMeans Clustering Kalman Filter Data Association Real Time Tracking Python