Akash Gupta
@akashgupta14
AI & Data Science professional with 5+ years of experience, including 3+ years at the forefront of Generative AI.
What I'm looking for
As a Senior Data Scientist working in the Generative AI space, I design and deploy large-scale machine learning systems that power real-world applications in healthcare, finance, and enterprise automation. My recent work includes building LLM-powered solutions like appeal letter generation, policy chatbots, and next-best-action prediction engines — leveraging tools such as Azure AI Studio, Azure ML, Hugging Face Transformers, Agentic AI, MCP, RAG, LangChain, LlamaIndex, PEFT, LoRA, FAISS, DSPy and multiple Generative AI framework to deliver scalable and reliable AI infrastructure.
With over 5 years of industry experience, I bring a strong foundation in Data Science, Machine Learning, NLP, and Generative AI. I’ve led end-to-end product development for complex ML workflows, working closely with domain experts and engineering teams. Outside of work, I’m an active contributor to the ML community.
I’ve ranked in the Top 3 of 65+ machine learning hackathons, hold the Grandmaster title on MachineHack, and am a Kaggle Expert. I’ve also published research in the area of image captioning and have received multiple certifications from Microsoft, IBM, Google, and Stanford.
Experience
Work history, roles, and key accomplishments
Data Scientist II
Ensemble Health Partners
Oct 2022 - Present (3 years 5 months)
Built and deployed production-grade GenAI/ML systems on AzureML, integrating LLM fine-tuning, RAG architectures, and CI/CD for enterprise healthcare workflows. Reduced nurse drafting time from ~1 hour to minutes via an LLM-based clinical document automation system and improved policy retrieval speed with a Neo4j-backed RAG chatbot.
Assistant Manager - Data Scientist I
Hsbc
Sep 2021 - Oct 2022 (1 year 1 month)
Developed and deployed scalable ML and NLP pipelines to automate reporting workflows and improve bot-driven business insights. Analyzed 243K+ customer responses to identify high- and low-impact NPS drivers and built an unsupervised segmentation model to optimize workspace planning.
Data Analyst
Tata Consultancy Services
Oct 2020 - Jul 2021 (9 months)
Developed time-series forecasting and supply–demand models using Python and machine learning to generate actionable business insights.
Education
Degrees, certifications, and relevant coursework
Dr. A.P.J. Abdul Kalam Technical University (UPTU)
Bachelor of Technology, Information Technology
2016 - 2020
Grade: CGPA-8.3 | Percentage-83.10%
Completed a Bachelor of Technology in Information Technology at Dr. A.P.J. Abdul Kalam Technical University (UPTU) from 2016 to 2020.
Tech stack
Software and tools used professionally
Microsoft Azure
GitHub
Cloudflare
GitHub Actions
Azure Pipelines
Jupyter
NumPy
Pandas
PySpark
Pandasql
Gmail
Google Analytics
Databricks
Neo4j
Azure Stack
PyCharm
Azure DevOps
Python
HTML5
Azure Machine Learning
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Azure Search
Azure Functions
xlwings
GitHub Pages
GitHub CLI
Git
Docker
Airflow
GuardRails
SQL
Azure Blob Storage
SciPy
Docker Machine
LangChain
LlamaIndex
Ollama
ChromaDB
LiteLLM
vLLM
Anthropic Claude API
Google Gemini API
Cursor
GitHub Copilot
OpenLLM
DSPy
Ragas
Faiss
Model Context Protocol (MCP)
Claude Code
Azure AI Foundry
Availability
Location
Authorized to work in
Website
akash-hackathon.pages.devPortfolio
akash-hackathon.pages.devSalary expectations
Social media
Job categories
Skills
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