Machine Learning Engineer

Rohith

Dallas, TX, USA

Mobile: 972-***-**** Email: *************@*****.*** LinkedIn

PROFESSIONAL SUMMARY

Machine Learning Engineer AI Engineer Data Scientist MLOps Engineer with 5+ years of experience in designing scalable AI/ML solutions, deploying models, and building robust data pipelines. Expertise in end-to-end model development, MLOps automation, and cloud-based AI systems. Proven track record of optimizing ML workflows, enhancing fraud detection, and leveraging NLP & Generative AI for business impact. Skilled in ML model deployment, infrastructure as code (IaC), CI/CD automation, and cloud-native AI architectures.

SKILLS SUMMARY

Languages: Python, SQL, Oracle SQL

Data Science: Ollama, Scikit-learn, NLTK, SpaCy, TensorFlow, PyTorch, PySpark, ETL/ELT,

Data Visualization, NLP, Data Modeling, Computer Vision, Deep Learning,

Statistical Analysis, Data Warehousing, LLMs

Generative AI LangChain, Vector Databases, RAG. Embedding Models, Prompt Engineering, Semantic Search

Tools: Docker, Git, GitHub, Hugging Face, Snowflake, MLflow, MS SQL Server,

PostgreSQL, MySQL,

Tableau, Power BI

Platforms: Linux, Windows, AWS, Azure

WORK EXPERIENCE

Machine Learning Engineer- Wells Fargo Remote, USA

Skills- Python, Ollama, RAG, Chroma DB, Mlflow, AWS, LLMs, Gen AI Feb 2023- Present

oEngineered an AI assistant leveraging a Large Language Model (LLM), Vector Database, RAG, Ollama, and Python to precisely identify data elements in source systems from ambiguous feature descriptions for AI solutions, achieving a 50 percent reduction in manual time.

oDeveloped and deployed a machine learning model which significantly enhanced fraud detection capabilities and saved over $50,000 in the first week of deployment.

oDeployed all AI and Machine learning solutions on cloud platforms using AWS services such as Bedrock, SageMaker, and Lambda, ensuring scalability, reliability, and efficient resource utilization.

oAutomated the CI/CD pipeline for model deployment and monitoring, reducing deployment time by 30% and ensuring seamless updates with minimal downtime.

oConducted A/B testing and model benchmarking to compare performance across ML algorithms, optimizing fraud detection efficiency by 30%

oDesigned and implemented scalable data pipelines to extract, transform, and load (ETL) structured and unstructured data from multiple sources into cloud-based AI applications.

oBuilt modular ML pipelines with automated testing, version control, and real-time monitoring using MLflow

oDesigned and deployed production-grade AI pipelines using AWS Bedrock and SageMaker, optimizing model inference and scalability.

oAutomated data validation and model performance monitoring using MLflow and AWS Lambda, reducing model drift by 20%

oAnalyzed AI-generated responses and iteratively improved prompt structures, enhancing model accuracy and reducing hallucinations by 30%.

oImplemented continuous monitoring frameworks for GenAI applications, ensuring regulatory compliance and minimizing bias in AI outputs.

Assistant System Engineer (Data Scientist)

Tata Consultancy Services Remote

Skills- Python, OpenAI API, SQL Server, Snowflake Aug 2021-Aug 2022

oCreated a contract risk assessment solution that streamlined compliance with ASC 606 standards, resulting in a drastic reduction in contract analysis time by 90 percent from 2 hours to just 2 minutes.

oSpearheaded a near real-time ELT data ingestion pipeline to efficiently transfer 10 million+ daily credit card transactions data from SQL Server to Snowflake, significantly reducing the report generation time from 4 hours to 15 minutes.

oLeveraged Change Data Capture (CDC) method to efficiently capture changes in the data, and utilized dbt (Data Build Tool) for data transformation, resulting in a streamlined and agile data processing pipeline.

oBuilt Apache Superset dashboard to visualize the generated reports, saving 15 hours of manual reporting work every week.

oDeveloped AI-powered contract analysis models integrating NLP to enhance compliance checks and risk assessment.

Data Analytics Engineer– Unilever Remote

Skills- Python, AWS Transcribe, Deep Speech, SQL July 2019-Aug 2021

oDeveloped an automated customer feedback system using AWS Transcribe and Deep Speech, processing 1000+ daily calls with 95% accuracy and reducing analysis time by 75%

oBuilt a robust knowledge base with optimized search functionality, driving actionable insights that enhanced marketing effectiveness and customer engagement.

oEngineered and trained a robust computer vision model using TensorFlow and OpenCV to accurately identify hand positions in real-time, reducing safety incidents significantly.

EDUCATION

M.S. in Technology Management, Lindsey Wilson College, Kentucky, USA

B.Tech in Information Technology, BV Raju Institute of Technology, Hyderabad, India

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