AI/ML Engineer with Generative AI and MLOps Expertise

Akshay Laddha

+1-518-***-**** *************@*****.*** Mesa, 85202, United States LinkedIn Github Summary

AI/ML Engineer with 3+ years of experience in Generative AI, LLMs, and machine learning (NLP, computer vision, predictive modeling). Skilled in MLOps

(MLflow, Docker, Kubernetes, CI/CD) and cloud platforms (AWS, Azure, GCP) for scalable model deployment. Strong expertise in data engineering (ETL, Spark, Kafka, Snowflake) and advanced analytics to drive automation, business insights, and ROI Skills

Programming Languages: Python, R, SQL, Bash, Scala, C++, TypeScript, Java, MATLAB Machine Learning & Deep Learning: Supervised & Unsupervised Learning, Predictive Modeling, Computer Vision (CNN, RNN, Transformers), Natural Language Processing (NER, Text Classification, Summarization, Sentiment Analysis), Reinforcement Learning, Transfer Learning, Feature Engineering, Time Series Forecasting

Generative AI & LLMs: Prompt Engineering, LangChain, LangGraph, CrewAI, Hugging Face Transformers, Retrieval-Augmented Generation (RAG), Fine-tuning, LoRA, PEFT, OpenAI API, GPT, LLaMA, Claude, Vector Databases (Pinecone, FAISS, Weaviate), Agentic AI Frameworks & Libraries: TensorFlow, PyTorch, PyTorch Lightning, Keras, Scikit-learn, XGBoost, spaCy, NLTK, OpenCV, Pandas, NumPy, SciPy, FastAPI, Flask MLOps & Deployment: MLflow, Docker, Kubernetes, Airflow, Jenkins, GitHub Actions, Terraform, CI/CD Pipelines, Model Deployment (SageMaker, Vertex AI, AKS), Model Monitoring (AWS CloudWatch, Prometheus, ELK Stack) Cloud & Big Data Platforms: AWS (SageMaker, Lambda, EC2, EKS, Glue, Athena, Redshift, S3), Azure (ML Studio, AKS, Data Factory, Cognitive Services), GCP

(Vertex AI, BigQuery), Databricks, Apache Spark, Hadoop, Kafka, Snowflake, MongoDB, DynamoDB Data Engineering & Storage: ETL Pipelines, Data Modeling, Data Warehousing, Streaming Data (Kafka, Kinesis), SQL (PostgreSQL, MySQL), NoSQL (Redis, MongoDB), Data Lakes, Data Pipelines

Visualization & Analytics: Tableau, Power BI, Matplotlib, Seaborn, Plotly, Data Storytelling, KPI Tracking Statistical & Analytical Skills: A/B Testing, Regression Analysis, Experimental Design, Clustering, Hypothesis Testing, Statistical Modeling Collaboration & Methodologies: Agile, Git, GitHub, GitLab, Jira, Confluence, Stakeholder Management, Cross-functional Collaboration, Problem-Solving Experience

Oracle Texas, USA

AI/ML Engineer August 2024 – present

• Designed and deployed end-to-end machine learning and deep learning models (supervised, unsupervised, NLP, computer vision, time series forecasting) using Python, R, TensorFlow, PyTorch, and Scikit-learn, improving business outcomes with scalable AI solutions.

• Implemented Generative AI and LLM solutions leveraging LangChain, Hugging Face Transformers, RAG, LoRA, PEFT, and vector databases (Pinecone, FAISS, Weaviate) to build intelligent applications in NLP, summarization, and agentic AI workflows.

• Built and automated MLOps pipelines with MLflow, Docker, Kubernetes, Airflow, Jenkins, and CI/CD workflows, enabling seamless model deployment and monitoring on AWS SageMaker, Azure ML, and GCP Vertex AI.

• Developed ETL pipelines, data lakes, and real-time streaming systems using Apache Spark, Kafka, Snowflake, and Databricks, while optimizing data storage (SQL, NoSQL) for enterprise-scale analytics and visualization with Tableau, Power BI, and Plotly. LTIMindtree Pune, India

Senior Executive March2022- July2023

• Led PMO operations for a 10-member team, ensuring on-time program delivery, stakeholder alignment, and governance, improving team productivity by 20% through workflow automation.

• Optimized SQL queries and managed large-scale ETL pipelines, ensuring efficient data integration, validation, and accuracy across enterprise financial systems.

• Performed advanced analytics on financial and credit risk data, applying statistical modeling and regression techniques to deliver actionable insights that strengthened risk management and business strategy. LTIMindtree Pune, India

Senior Analytics Consultant Feb2021- Feb2022

• Partnered with finance and operations teams to optimize resource allocation, reducing operational costs by 12%

• Created Tableau dashboards to visualize KPIs and communicate business insights to stakeholders

• Built ETL pipelines using Python and SQL to automate data workflows, reducing processing time by 20% LTIMindtree Pune, India

Software Engineer Aug2020- Jan2021

• Automated data processing workflows using Python, SQL, and ETL pipelines, reducing manual intervention by 20% and improving reporting accuracy, data quality, and operational efficiency.

• Developed and deployed machine learning models for customer behavior analysis, predictive modeling, and retention strategies, achieving a 10% increase in customer retention and loyalty.

Project

Social Media Sentiment Analysis Apr 2024 - May 2024

• Leveraged PRAW and LLMs to analyze Reddit sentiment on Valorant's new agent Clove, improving campaign targeting by 8% Card Default Prediction Jan 2024 - Mar 2024

• Built data pipelines and optimized credit risk models, enhancing model performance by 15% and revenue forecasting by 11% Airbnb NYC Revenue Optimization Analysis using Tableau Oct 2023 - Dec 2023

• Created Tableau dashboards for revenue optimization, boosting investor returns by 12% through data-driven strategies Sentinel AI

• Built an autonomous cybersecurity agent that ingests live telemetry, detects anomalies with statistical models, enriches alerts with context, and triggers automated containment, cutting triage time by about forty percent. Phishing Website Detection using Machine Learning Aug 2018 - Dec 2018

• Developed a machine learning model using Random Forest, improving detection accuracy by 15% to combat phishing attacks Education

W. P. Carey School of Business at Arizona State University Aug 2023 - Jul 2024 Master of Science, Information Systems Management (GPA: 4.0)

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