Hemant Kumar B K
Machine Learning Engineer | Python, SQL, Power BI, Azure | LLMs & Agentic AI Solutions | Cloud Analytics
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Building Intelligent Systems That Solve Real Problems
With an M.S. in Information Science from the University of Arizona, I've shipped production-grade ML solutions across mental health tech, recommendation systems, and humanitarian AI — combining technical depth with measurable impact.
Currently seeking full-time roles in Machine Learning Engineering, Data Science, or AI Engineering. Immediately available for collaboration on applied AI projects.
Core Expertise
  • Production ML Systems
  • LLMs & Agentic AI
  • Cloud Analytics
  • Data Pipeline Engineering
Technical Stack
Languages & Frameworks
Python, PyTorch, TensorFlow, LangChain, CrewAI, FastAPI
Data & Storage
SQL, MySQL, PostgreSQL, ETL Pipelines
Cloud & DevOps
Azure, AWS, Docker, MLOps, CI/CD
Analytics & Visualization
Power BI, OpenCV, NumPy, Data Analysis
Impact-Driven Projects
Delivering measurable results across diverse domains — from mental health support to humanitarian mapping.
30%
User Engagement Boost
Escape™ App AI recommendation system
45%
Response Accuracy
Omdena mental health chatbot
18%
Detection Accuracy
HOTOSM satellite image analysis
15%
Resolution Time
Amazon case analysis improvement
Escape™ App AI
Machine Learning Intern | July 2025 - Present
Built automated ETL pipelines in SQL and Python to process large infrastructure datasets, improving accessibility and efficiency by 25%. Designed PyTorch-based self-care recommendation model delivering 30% more personalized wellness insights.
Applied feature engineering, cross-validation, and hyperparameter tuning while ensuring compliance through data anonymization and PII masking.
Omdena: Mental Health AI Solutions
1
Agentic Mental Health Chatbot
April - May 2025: Designed agentic chatbot using LangChain, LangGraph, and OpenAI APIs with RAG pipelines. Reduced response latency by 35%, improved accuracy and empathy by 40%, increased accessibility by 25% through voice support.
2
Multi-Agent RAG System
June - August 2025: Developed chatbot integrating CrewAI, LangChain, and RAG workflows with PostgreSQL and Streamlit. Enhanced response accuracy by 45%, reduced latency by 30%, strengthened user trust through bias and empathy safeguards.
HOTOSM: Machine Learning for Earth Observation
January - April 2025
AI Model Development
Developed DeepLabV3+ PyTorch models for automatic building detection from satellite images, improving accuracy by 18%
Data Processing
Streamlined workflows using Python, OpenCV, and NumPy, reducing manual processing time by 40%
Visualization
Designed Power BI dashboard enabling 30% faster data-driven decisions for stakeholders
Cloud Deployment
Built scalable AWS workflow (S3, SageMaker, IAM) for climate action and disaster response
Amazon: Data-Driven Operations
Support Ops Specialist | March - August 2024
Investigated and resolved seller reimbursement and inventory discrepancy cases, ensuring accurate financial adjustments. Performed root cause analyses using Excel and internal tools, improving case resolution time by 15%.
Contributed to machine learning data annotation and validation, enhancing automated case classification accuracy and reducing manual workload in fast-paced operations.
Education & Certifications
Master of Science
University of Arizona
Information Science/Studies
July 2023 - May 2025
Bachelor of Engineering
Visvesvaraya Technological University
Mechanical Engineering
August 2018 - July 2022
Oracle Cloud Infrastructure 2023
Certified Data Science Professional
Machine Learning with Python
Data Science Certification
Google IT Automation
Certificate
Let's Build Something Impactful Together
I'm passionate about building scalable, ethical AI systems that blend technical excellence with human-centered design — from robust data pipelines to production deployment.
Location: Washington, D.C.
Status: Immediately available for full-time opportunities
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