ML & GenAI Engineer · Denver, CO

Laxman Sri Harsha Neelam

Building production-grade AI systems — from LLM-powered applications and RAG pipelines to MLOps infrastructure — with 5+ years bridging data engineering, applied ML, and Generative AI across energy, manufacturing, and healthcare.

View My Work Get In Touch LinkedIn ↗ GitHub ↗
5+ Years Exp.
3 Domains
AWS & Azure
01

About

I'm a Machine Learning & Generative AI Engineer currently based in Denver, CO, completing my Master of Science in Information Technology at the University of Denver.

My work sits at the intersection of data engineering and applied AI — designing RAG pipelines, deploying LLM-driven applications, and building the data infrastructure that makes these systems reliable and scalable in production environments.

Location Denver, CO 80222
Email harsneelam@gmail.com
Phone (720) 825-2434
Education MS IT · University of Denver
LinkedIn harsha-n-69851b3a7 ↗
GitHub HARSHANEELAM ↗
Status ● Available
02

Skills

Core
Generative AI & ML
GPT-4 LLaMA Claude RAG LangChain Prompt Engineering Embeddings Fine-Tuning Transformers
Infrastructure
MLOps & Cloud
AWS SageMaker MLflow Docker Weights & Biases AWS Glue AWS Lambda Azure Pinecone
Engineering
Data Engineering
Python SQL Azure Data Factory PostgreSQL SAP HANA Azure Synapse SSIS
Analytics
BI & Visualization
Power BI DAX Streamlit Tableau Prometheus
Applied ML
Frameworks & Libraries
Hugging Face Scikit-learn Pandas NumPy SciPy StatsModels
Domains
Industry Expertise
Energy Analytics Predictive Maintenance Supply Chain Healthcare HIPAA EHR Systems
03

Experience

Machine Learning Engineer (GenAI)
Sep 2023 – Present
Cordia · Remote, United States
  • Deployed production GenAI apps using GPT-4, LLaMA-2, and Claude-3 with LangChain for energy analytics, outage triage, and field report summarization.
  • Engineered RAG pipelines with AWS S3, Pinecone, and OpenAI embeddings for natural-language search across millions of structured and unstructured records.
  • Built scalable IoT/smart-meter data ingestion pipelines using Python and AWS Glue, ensuring upstream data quality for downstream AI workflows.
  • Implemented MLOps workflows with AWS SageMaker, MLflow, and Docker — versioned deployments across dev, staging, and production environments.
  • Conducted A/B testing and drift monitoring with Weights & Biases and Prometheus, driving a 17% improvement in predictive reliability.
Data Engineer & BI Analyst
Jul 2021 – Aug 2023
Yash Technologies · India
  • Built automated ETL pipelines with Azure Data Factory, Python, and SSIS for near-real-time procurement insights.
  • Developed Power BI dashboards with DAX and Azure Synapse, improving visibility into supply chain metrics.
  • Optimized T-SQL queries and ETL scripts, cutting data latency by 35% with automated validation test cases.
  • Implemented predictive maintenance analytics using Scikit-learn regression models, reducing equipment downtime by 8%.
  • Configured RBAC, data masking, and Azure Purview for governance and compliance across analytics delivery.
Data Analyst – Healthcare
Dec 2019 – Jun 2021
Telaverge · India
  • Built predictive risk models in Python and PostgreSQL, improving hospital readmission prediction accuracy by 20%.
  • Standardized EHR data from Epic and Cerner using Python ETL scripts, ensuring consistent integration pipelines.
  • Performed statistical testing and survival analysis with SciPy and StatsModels to identify key risk factors.
  • Ensured full HIPAA compliance across all patient datasets, maintaining data integrity for clinical reporting.

Let's work together

Get In Touch

Open to new opportunities in ML Engineering, GenAI, and Data Engineering roles.

harsneelam@gmail.com (720) 825-2434 LinkedIn ↗ GitHub ↗ Denver, CO