Anmol Dhankhar
Machine Learning Engineer
Hyderabad
Summary
With 9+ years of experience, currently working at HPE (Hewlett & Packard Enterprise) as a Machine Learning Engineer. Specializing in end-to-end solution building for Generative AI and ML projects, covering Solution Architecture design, Data Pipelines, Development, and Deployment on Production using MLOps, LLMOps, and DevOps best practices. An industry 4.0 specialist with expertise in predictive analytics, model building, and scalable model deployment using Docker and Kubernetes.
Overview
10
10
years of professional experience
6
6
years of post-secondary education
4
4
Certifications
Work History
Principal Solution Specialist
Hewlett & Packard Enterprise (HPE)
8 2024 - Current
- Building a chatbot for HPE's external clients using HPE's Hybrid Cloud BU services, including OpsRamp, Juniper Networks, and HPE GreenLake.
- Performed scrapping of HTML content and chunked & stored in a persistent vector database (Chroma) using a custom chunking strategy.
- Enabling users to query the system and receive syntactically and semantically correct responses while managing over 500-1000 such calls per day.
- The system functions as a virtual assistant, guiding users through configurations or steps to onboard or access HPE's Hybrid Cloud services.
- Enhanced collaboration with cross-functional teams, resulting in higher quality deliverables and increased customer satisfaction
Generative AI / Machine Learning Engineer
Deloitte USI
2021.11 - 2024.07
- Led the design, development, and deployment of the first-ever proof of concept (POC) in Generative AI for a summarization and Q&A app using RAG infrastructure. Helped Deloitte secure multiple new projects in the Generative AI space.
- Directed the Backend Developer team in designing and developing the core solution for the Generative AI project.
- Established a framework easily adopted for any new Generative AI project, including design, development best practices, and evaluation of LLM output, reducing project completion time.
- The solution reduced manual efforts for medical document writers by 70% in drafting non-clinical overview documents and study protocols.
- Developed custom chunking logic for input files (PDF and DOCX), storing them in a vector database section-wise to reduce noise during content generation for LLM.
- Implemented a multi-modal RAG pipeline to handle data types like tables and charts. Integrated OpenSearch Vector DB for document embeddings and metadata, enabling faster data retrieval with pre-filter capabilities.
- Received a recommendation on LinkedIn from Pfizer senior leadership for contributions to the Generative AI project.
- Able to read and implement research papers (e.g., architectures, training techniques) to solve specific problems.
MLOPs Engineer
Dhani Stocks
2019.07 - 2021.05
- Build, deploy & run Sage-maker pipelines that orchestrate Sage-maker AI Platform services to train, tune and deploy a machine learning model
- Automated the model monitoring in the Production server to capture data, model & concept drift
- Model Version and configuration Management
- Perform Model Refresh using A/B & shadow testing
- Created and maintained fully automated CI/CD pipelines for ML Model deployment using GitHub Actions.
MLOPs Engineer
Accenture Solutions ltd
2014.10 - 2019.06
- Involved in a Classification Machine learning problem solved Using Tree Based Model to predict users who can be targeted for the specific Ads based on Model Decision
- Automated the model monitoring in the Production server to capture data, model & concept drift
- Model Version and configuration Management
- Perform Model Refresh using A/B & shadow testing
- Used Containerization tools like Docker and Kubernetes for automated deployments, scaling and management of containerized applications across clusters of hosts
- Ability to work within a team with a strong analytical, problem solving & communication skill.
- Established strong working relationships with clients through exceptional communication skills, fostering trust and collaboration
Education
PG Diploma- Data Science -
University of Texas, Austin
Austin 2019.01 - 2021.04
Bachelor of Engineering, India -
Visveswarya Technological University
Bengaluru, India 2010.07 - 2014.06
Skills
Generative AI: LLM ( Open source, proprietary ) , LangChain & Agents, Vector DB, prompt engineering & tuning, Chat- bot Assistants and RAG
Machine Learning: Supervised, Unsupervised and Recommendation Systems.
NLP: Transformers (Encoder, Decoder & Encoder-Decoder)
Computer Vision: Object Detection, Image Segmentation and classification
Deep Learning: TensorFlow
Language: Advanced Python, Shell Scripting
Cloud: AWS
Agile: JIRA
Non -Technical :Teamwork, Time Management, Communication., Quality Assurance,Product Demonstration, Project Management, Creative solutions
Certification
AWS Machine Learning – Specialty
Timeline
Generative AI / Machine Learning Engineer
Deloitte USI
2021.11 - 2024.07
MLOPs Engineer
Dhani Stocks
2019.07 - 2021.05
PG Diploma- Data Science -
University of Texas, Austin
2019.01 - 2021.04
MLOPs Engineer
Accenture Solutions ltd
2014.10 - 2019.06
Bachelor of Engineering, India -
Visveswarya Technological University
2010.07 - 2014.06
Principal Solution Specialist
Hewlett & Packard Enterprise (HPE)
8 2024 - Current
AWS Machine Learning – Specialty
AWS DevOps Engineer Professional
Building Smart Recommendation Systems by Nvidia.
Generative AI with Large Language Models by Coursera
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