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Kakarla Athreya

@kakarlaathreya

Data Engineer at Scageon Technologies who developed a local RAG application for private document-based question answering.

United Kingdom

Message

At Scageon Technologies, I developed a fully local RAG application for private, secure document-based question answering. I built Python ingestion and retrieval pipelines and containerized the application for local deployment.

At Cognizant Technology Solutions, I developed a Python framework to automate ML metric selection and processing for financial datasets. I built pipelines for monitoring model performance and added data-quality and threshold-based checks.

At Tata Consultancy Services, I optimized SQL Server and BigQuery queries on 100M+ records, improving execution speed by 35%. I also developed an invoice recognition and validation pipeline using OCR, NER, and GCP services, improving invoice validation accuracy by 93%.

Earlier, I built ETL pipelines with Python, PySpark, and Google Dataflow, and developed a speech-to-text and sentiment analysis pipeline on GCP. My academic research project used a Python NARMAX model to analyze wetland and climate data.

Experience

Work history, roles, and key accomplishments

Data / Python Developer

Scageon Technologies

Jun 2026 - Aug 2026 (2 months)

Developed a fully local RAG application for private document-based QA, built Python ingestion pipelines, implemented embedding and vector indexing, and containerized the application for reproducible deployment.

Python RAG Document Embedding Vector Indexing Retrieval LLM Containerization

Data / Python Engineer

Cognizant Technology Solutions

Dec 2025 - Jun 2026 (6 months)

Developed a Python-based framework to automate ML metric selection and processing for financial datasets, built data pipelines for real-time monitoring, and implemented data quality checks and threshold-based anomaly detection.

Python Pandas SQL Data Pipelines ML Monitoring Data Quality Anomaly Detection

Data / Python Engineer

Tata Consultancy Services

Feb 2025 - Dec 2025 (10 months)

Optimized SQL Server and BigQuery queries on 100M+ records, automated data retrieval for 300+ attributes, and enhanced financial data pipelines on GCP. Designed and deployed a GenAI pipeline for invoice recognition and validation using OCR, NER, and LLM-based validation.

SQL Server BigQuery ETL Process Automation Python GCP Pub Sub Machine Learning APIs LLM OpenAI OCR NER Vertex AI OpenCV

Data Analyst / Developer

Tata Consultancy Services

Nov 2024 - Feb 2025 (3 months)

Designed data attribute mapping frameworks between legacy systems and BigQuery, automated SQL workflows, and built Looker Studio dashboards. Built an end-to-end speech-to-text and sentiment analysis pipeline using Whisper, Wav2Vec2, and Vertex AI Speech-to-Text.

BigQuery Looker GCP Data Analysis SQL Server ETL Process Automation Python Pub Sub Machine Learning APIs LLM OpenAI Whisper Wav2Vec Vertex AI

Application Analyst / Developer

Tata Consultancy Services

Sep 2022 - Apr 2023 (7 months)

Automated 85% of manual workflows in MongoDB applications using Python and Bash, and performed process migration and vulnerability assessments to ensure stable and secure production systems.

MongoDB Python SQL BASH Linux Process Automation