Hemanth HM
Bengaluru
Summary
Experienced AI and Decision Science professional with nearly 4 years of expertise in Generative AI, LLMs, NLP, and machine learning. Proven track record of building scalable RAG pipelines, multi-agent workflows, Knowledge Graph solutions, and predictive models for Fortune 100 organizations. Skilled in Python, SQL, vector databases, and AI orchestration frameworks to deliver impactful, data-driven solutions.
Overview
3
3
years of professional experience
Work History
Senior Data Scientist
Mu-Sigma
India
01.2025 - 06.2026
- Designed and developed a Knowledge Graph (KG)-based Agentic AI QA chatbot capable of generating context-aware answers using a multi-agent orchestration architecture.
- Built scalable data engineering pipelines for data ingestion, preprocessing, transformation, and loading of structured and unstructured data into Amazon Web Services Neptune Knowledge Graph.
- Engineered an advanced Agentic AI framework using LangGraph with 12 specialized agents for intelligent query decomposition, orchestration, and response generation.
- Enabled scalable enterprise knowledge discovery and improved strategic decision-making for pharma stakeholders by implementing a hybrid Agentic AI architecture integrating Knowledge Graphs and vector-based semantic retrieval systems for insight generation and executive-level deck creation.
Data Scientist
Mu-Sigma
India
10.2023 - 11.2024
- Developed LLM and transformer-based NLP frameworks for biomedical entity extraction, user profiling, sentiment analysis, and taxonomy-driven thematic classification of unstructured text.
- Designed retrieval-augmented and embedding-based architectures leveraging vector databases and clinical trial APIs to improve identification and resolution of studies, drugs, and indications in noisy social media data.
- Implemented LLM-driven summarization and analytics pipelines and integrated ML models into REST APIs for real-time generation of stakeholder-ready insights and reporting dashboards.
- Achieved manual effort reduction by ~80% in insight generation workflows and enabling scalable, automated decision support for medical and commercial teams
Data Analyst
Mu-Sigma
India
01.2023 - 09.2023
- Performed Real World Evidence (RWE) analytics on large-scale healthcare claims and patient-level datasets using SQL, SAS, and statistical methodologies to generate clinical and commercial insights for pharmaceutical clients.
- Performed exploratory data analysis (EDA), descriptive statistics, trend analysis using healthcare and claims data to support evidence generation initiatives.
- Built automated analytical workflows and reusable reporting frameworks to improve efficiency, reproducibility, and scalability of RWE studies
Education
Bachelor of Engineering Technology - Electrical, Electronics And Communications Engineering
Sapthagiri College of Engineering
India07-2022
Skills
- Python
- Machine learning
- Natural language processing
- Big data analytics
- SQL
- Statistical analysis
- LLM's
- Vector database
- Deep Learning
- Fine Tuning
- Transformer Models
- GIT
- JIRA & Confluence
Achievements
Recognized with 2 SPOT Awards for consistently delivering critical, time-sensitive projects under tight deadlines, demonstrating strong ownership, execution excellence, and reliability in high-pressure environments.
Timeline
Senior Data Scientist
Mu-Sigma
01.2025 - 06.2026
Data Scientist
Mu-Sigma
10.2023 - 11.2024
Data Analyst
Mu-Sigma
01.2023 - 09.2023
Bachelor of Engineering Technology - Electrical, Electronics And Communications Engineering
Sapthagiri College of Engineering