AI/ML Engineer | Python | LLM Workflows | SQL | Data Science | Intelligent Process Automation

I build Python-driven automation systems that combine RPA, AI/ML, LLM integrations, SQL-based validation, and workflow orchestration to solve real business process problems.

I am currently working as an AI/ML Engineer at HachiAI, where I own end-to-end automation delivery across requirement analysis, solution design, development, testing, launch, production support, and debugging.

I am also a BTech graduate in Electronics and Communication Engineering from Gokaraju Rangaraju Institute of Engineering and Technology, with strong interests in AI/ML Engineering, Data Science, RPA, and Software Development.

• AI-assisted workflows for finance and business process automation
• Python automation for email processing, Excel workflows, reconciliation, and reporting
• LLM-integrated workflows using APIs and structured automation logic
• SQL-based validation, data reconciliation, and operational reporting
• Agentic AI systems, Claude API, Model Context Protocol, and enterprise automation patterns
• Applied Data Science, ML model development, and production-ready automation

Aug 2025 - Present | Hyderabad, India

• Own end-to-end automation delivery from requirement analysis and solution design to development, testing, launch, production support, and debugging.
• Built a completed AI-assisted email triage and automation workflow for finance inbox operations.
• Designed automation logic for reading, classifying, routing, and processing finance-related emails.
• Automated payment inquiry workflows using email parsing, invoice-reference extraction, system-status validation, and response generation.
• Implemented exception handling and completed-item archiving to support review, tracking, and audit readiness.
• Created and executed testing criteria for email-routing accuracy and automated-response quality before production rollout.
• Delivered the email triage automation independently from scratch across the full project lifecycle.
• Currently developing a finance automation pipeline for recurring report processing, CSV ingestion, reconciliation preparation, accounting-code mapping, and ERP-ready upload workflows.
• Working with Python-driven Excel automation, shared-drive file handling, data cleansing, transformation, validation, and archival workflows.

Apr 2024 - Oct 2024 | Hyderabad, India

• Worked with Cadence Virtuoso for analog circuit design, schematic capture, and simulation.
• Used Proteus for circuit simulation, validation, and embedded system testing.
• Developed and tested programs in C, Verilog, and VHDL for digital logic and hardware modeling.
• Performed simulation-based functional verification to analyze system behavior under varied input conditions.

Sep 11, 2025 - Apr 24, 2026 | Completed

Built an end-to-end AI-assisted automation workflow for finance inbox operations, covering planning, solution design, development, testing, launch, production support, and debugging.

• Designed and developed an automation system to read, classify, route, and process finance-related emails.
• Automated handling of payment inquiry workflows by combining email parsing, invoice-reference extraction, system-status validation, and response generation.
• Built routing logic for categories such as payment inquiries, invoice submissions, vendor statements, system issues, and exception cases.
• Implemented exception handling and completed-item archiving to support review, tracking, and audit readiness.
• Created and executed testing criteria for email-routing accuracy and automated-response quality before production rollout.
• Delivered the project independently from scratch across the full lifecycle.

Apr 25, 2026 - Present | In Development

Currently developing a finance automation pipeline for recurring report processing, CSV ingestion, reconciliation preparation, accounting-code mapping, and ERP-ready upload workflows.

• Designing automation workflows for report extraction, CSV intake, data cleansing, validation, transformation, and upload preparation.
• Translating recurring manual finance operations into structured, repeatable automation requirements.
• Building toward improved consistency, timeliness, and auditability across recurring financial reporting workflows.
• Working with workflow components involving shared-drive file handling, spreadsheet automation, email/archive handling, accounting mappings, and ERP-compatible formatting.
• Documenting assumptions, exclusions, and operational boundaries to keep automation aligned with production finance needs.

Developed a personalized movie recommendation system using user-item rating data and genre metadata.

• Performed exploratory data analysis, feature engineering, and user-item matrix construction using Python, Pandas, and NumPy.
• Implemented collaborative filtering and content-based filtering techniques to generate top-K recommendations.
• Evaluated model performance using RMSE and ranking metrics.

Designed and implemented an IoT-enabled automated drug dispensing system using ESP32 for scheduled and on-demand medication delivery.

• Integrated RTC-based scheduling, stepper motor-controlled compartments, and multi-sensory alert mechanisms.
• Engineered fail-safe features including dispensing validation and battery backup.
• Presented at the International Conference on Inventive Computation Technologies, ICICT 2025, and published in IEEE.

Languages: Python, SQL, C, HTML, CSS

Automation & RPA: RPA, workflow orchestration, email automation, Excel automation, UiPath, Uxplore, n8n

AI, ML & Data: LLM integration, Data Analysis, ETL workflows, Pandas, NumPy, scikit-learn, Matplotlib, Seaborn

APIs & Databases: REST APIs, JSON handling, MySQL, Microsoft SQL Server

BI & Tools: Power BI, Tableau, Firebase, OpenCV, Tesseract OCR, Windows, macOS

Embedded & VLSI: Cadence Virtuoso, Proteus, Verilog, VHDL, Embedded Systems

See certifications.md for the full certification list with credential details.

See projects.md for expanded project summaries and portfolio-safe automation case studies.

A cleaned TensorFlow/Keras lab series covering neural network fundamentals, dense classifiers, model lifecycle workflows, CNNs, transfer learning, and RNN-based sentiment analysis.

1. Neural Network From Scratch
2. MNIST Digit Classifier
3. Fashion-MNIST Model Lifecycle
4. Cats vs Dogs CNN Classifier
5. VGG16 Transfer Learning Classifier
6. IMDB Sentiment RNN

End-to-end data analysis projects using Python, Pandas, Matplotlib, Seaborn, and Power BI — covering EDA, business insight extraction, and interactive dashboards.

• Superstore Profit Analytics — EDA on US retail sales data; profit drivers, segment analysis, regional trends, and discount impact study

Bachelor of Technology in Electronics and Communication Engineering
Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad
CGPA: 8.2 | Graduated with Distinction

Relevant coursework: Data Structures & Algorithms, Database Management Systems, Operating Systems, Machine Learning, Embedded Systems, Verilog, VHDL.

Smart Drug Dispensing System Using ESP32
Presented at the International Conference on Inventive Computation Technologies, ICICT 2025, and published in IEEE. Here's the URL - https://ieeexplore.ieee.org/document/11005088

• LinkedIn: https://linkedin.com/in/sainatha
• Email: sainathan2003@gmail.com