Career Intelligence
Resume / JD Match Analyzer

Paste a job description to see how well my background matches the role. AI-powered analysis with actionable feedback. Powered by Llama 3.3 70B.
My Resume(PII masked)Upload PDF
Santosh Adabala
Machine Learning Engineer
Lakewood, CO | ••••@••••.••• | (•••) •••-•••• | LinkedIn | GitHub | Portfolio

Professional Summary
Machine Learning Engineer with 5+ years of experience applying ML, NLP, and predictive analytics to healthcare and insurance data. Hands-on with claims risk scoring, denial prediction, clinical text analysis, fraud-risk detection, anomaly detection, and ML-ready data pipelines using Python, SQL, Scikit-learn, PyTorch, TensorFlow, ClinicalBERT, PySpark, Azure, AWS, Databricks, and MLflow.

Technical Skills
Languages: Python, SQL, R, Scala
ML/AI: Scikit-learn, PyTorch, TensorFlow, XGBoost, LightGBM, ClinicalBERT, Transformers, Hugging Face, RAG, NLP, NER, Anomaly Detection
Data/MLOps: PySpark, Databricks, Airflow, Azure Data Factory, SSIS, MLflow, Feature Engineering, Model Evaluation, Model Monitoring
Cloud/Analytics: Azure Synapse, Azure SQL, AWS SageMaker, AWS EMR, S3, PostgreSQL, SQL Server, Snowflake, BigQuery, Power BI, Tableau, Git, HIPAA

Professional Experience
Machine Learning Engineer | Blue Cross Blue Shield of Colorado | Aug 2024 – Present
• Used ClinicalBERT, Python, and Scikit-learn to analyze clinical notes, claims narratives, and prior authorization text, helping medical review teams find relevant clinical patterns faster.
• Built Python and SQL-based models to prioritize high-risk claims, predict likely denials, and surface high-cost cases for utilization review teams.
• Built HIPAA-compliant data pipelines with Azure Data Factory, Azure Synapse, Azure SQL, SQL Server, and Python to process claims, provider, eligibility, and pre-certification data from 6+ payer systems, reducing manual data preparation effort by 30%.
• Developed Power BI dashboards and model-monitoring reports to track denial rates, turnaround time, appeals success, utilization trends, provider performance, and data quality checks.

Machine Learning Engineer | Accenture – Sun Life Insurance Client | Jul 2019 – Aug 2022
• Built predictive models with Random Forest, XGBoost, Logistic Regression, and Scikit-learn to analyze insurance claims, policyholder behavior, risk patterns, and claim approval trends.
• Developed anomaly detection logic on claims and transaction data to flag suspicious billing activity, unusual claim frequency, and high-risk policy behavior.
• Prepared ML-ready datasets from policy, premium, claims, customer, and payment data using Azure Data Factory, Azure Synapse, Azure SQL, PySpark, and Python, improving ingestion throughput by 50% and reducing reporting costs by 31%.
• Deployed Azure Databricks pipelines with data quality checks, logging, alerting, and SLA monitoring for recurring insurance analytics and model input datasets.

Machine Learning Projects
AlignLLM: LLM Alignment Pipeline on AWS | SageMaker, LoRA/QLoRA, DPO, RLHF, AWS Glue, Terraform
• Built a personal LLM alignment pipeline for a 7B chat model using SFT, DPO, RLHF, and LoRA/QLoRA; used AWS SageMaker for training, CloudWatch for monitoring, AWS Glue and Athena for data processing, Terraform for infrastructure, and W&B for experiment tracking.

LLM Model Compression and Inference Optimization | PyTorch, Transformers, ONNX
• Fine-tuned and compressed transformer models using knowledge distillation and ONNX export, reducing model size from 110M to 65M parameters and improving inference latency from 39ms to 11ms.

Distributed ML Pipeline for Document Intelligence | AWS EMR, S3, PySpark, MLflow
• Built a PySpark-based document processing pipeline on AWS EMR and S3, improving throughput to 4,350 docs/sec by tuning Spark transformations, partitioning strategy, and batch processing logic.

Education
M.S. Data Science, University of Colorado Boulder
B.Tech. Electronics and Communication Engineering, JNTU Kakinada
Relevant Coursework: Machine Learning, Deep Learning, NLP, Data Mining, Statistics, Big Data Analytics

Certifications
AWS ML Engineer – Associate | AWS Solutions Architect – Associate | NVIDIA AI Anomaly Detection | Azure DP-900
Job Description