Anoohya Bhaskarla

I'm Engineer

About

Motivated and results-driven professional with a strong passion for AI, Machine Learning, and Data Engineering, combining practical industry expertise with research-driven innovation. I bring 3 years of industry experience as a Data Engineer, delivering ETL/ELT pipelines, data platforms, and predictive models across healthcare, retail, banking, and logistics domains, along with 2 years of AI/ML research experience as a Research Assistant, building Generative AI applications, RAG pipelines, predictive modeling, and multi-modal AI solutions.

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AI & Enterprise Architecture Specialist

Highly skilled professional specializing in the intersection of Artificial Intelligence, Machine Learning, and robust Enterprise Data Architecture. My expertise covers the full lifecycle of data solutions, from designing optimized PL/SQL and ETL workflows in enterprise environments like Oracle/Siebel to building modern LLM Agent systems and RAG pipelines using frameworks like LangGraph and FastAPI. I am committed to transforming complex data challenges into scalable, high-performance AI-driven business solutions.

  • Location: Argyle, TX 76226
  • Phone: (945) 289-4684
  • Email: anoohya0907@gmail.com
  • LinkedIn: [Insert Link]

Technical Skills

Programming & Data Science
Python FastAPI Pandas NumPy Scikit-learn Matplotlib Seaborn SQL PL/SQL MongoDB
AI, ML, & NLP Frameworks
LLAMA LangChain LangGraph RAG Multi-modal AI Transformers (Hugging Face) spaCy NLTK TextBlob
Data, ETL, & Backend Tools
Google Colab Jupyter Notebooks Vector DBs (Chroma, FAISS) ETL & Backend Development Query Optimization Canvas LMS integration
Database & Enterprise Tools
PL/SQL Development Stored Procedures & Triggers Oracle APEX Oracle Forms & Reports Siebel CRM Enterprise Application Support
Development & Collaboration
Git VS Code Pytest Agile (Slack, Trello) API Design & Testing

Resume

Education

Master of Science (MS) in Computer Science

2023 – 2025 (Expected)

University of North Texas, Denton, TX

Bachelor of Technology in Electronics and Computer Engineering

2017 – 2021

Kalasalingam Academy of Research and Education, Tamil Nadu, India

Research Experience

Graduate Research Assistant – Predictive Modeling & AI

Jan 2024 – May 2025

University of North Texas

  • Executed large-scale data cleaning, feature scaling, and model training to improve predictive accuracy and stability; developed prompt variations and sentiment classification pipelines to analyze ChatGPT's response polarity across domains.
  • Built structured RAG pipelines for metadata creation and vector-based retrieval, enabling real-time, context-aware AI responses for academic and business knowledge retention.
  • Applied multi-modal AI techniques combining textual and visual inputs for summarization, and designed/deployed agentic AI workflows for IT automation and knowledge management.

Professional Experience

Associate Consultant - Wipro (Client: METRO AG)

Jul 2021 – Aug 2023

Hybrid

  • Designed and optimized SQL/PLSQL workflows(queries, triggers, stored procedures, functions) to support high-volume retail transactions and enterprise reporting.
  • Built and managed ETL/ELT pipelines, ingesting data from Oracle, FTP, and APIs into centralized platforms.
  • Automated backend workflows using Python and Shell scripting with data validation and anomaly detection for reliable reporting.
  • Performed database performance tuning (Oracle 12c/19c) and optimized queries, reducing reporting latency by 30%.
  • Implemented containerization and CI/CD with Docker, Kubernetes (AKS), and Jenkins for scalable, automated deployments.
  • Integrated monitoring and logging using CloudWatch and Grafana, creating dashboards for pipeline health, drift detection, and SLA compliance.
  • Supported ML POCs and data visualization, preparing datasets and building KPI dashboards in Power BI/Tableau.

Software Developer | Intern & Software Developer

Sep 2020 – Jun 2021

Knowledge Solutions

  • Analyzed COVID-19 epidemiological and socio-economic datasets, providing insights on infection, recovery, and trends.
  • Designed and implemented ETL/ELT pipelines using SQL, PySpark, and Databricks, with automated workflow scheduling via Control-M and Airflow.
  • Developed predictive ML models (regression, decision trees, random forest, XGBoost) for outbreak forecasting and patient risk analysis.
  • Built interactive dashboards and ensured data quality, using Tableau and Power BI to deliver actionable insights and detect anomalies.

Projects

A selection of my personal and research projects in Generative AI, Data Engineering, and Predictive Modeling.

AI Autopilot for IT Request Automation

Built a FastAPI microservice with LLM agents to automate IT tasks and generate structured reports, orchestrating the system via LangGraph.

FastAPI LangGraph LLM Agent Engineering API Design

Smart Tutor AI (STA) – Intelligent Tutoring System

Developed a RAG-based AI tutor improving student performance and evaluating ChatGPT sentiment consistency, integrating LlamaIndex and Chroma DB.

Python Scikit-learn MLflow RAG Pandas NLTK TextBlob

Multi-Modal Summarization for Scientific Papers

Created context-aware summaries by integrating textual and visual data for research insights, leveraging RAG and LangChain.

Python RAG LangChain Vector Storage Parsing

Brain Tumor Detection using CNN & U-Net

Built a CNN/U-Net pipeline to segment and classify brain tumors from MRI images accurately.

Python TensorFlow/Keras OpenCV CNN U-Net

Contact

Location

Argyle, TX 76226 (Dallas Area)

Contact

+1 (945) 289-4684

Email Address

anoohya0907@gmail.com

For Queries