Sumanth Reddy Arra
Cincinnati
Summary
Senior Python Developer with strong experience designing scalable data platforms and intelligent automation systems across financial and IoT domains. Experienced in building end-to-end ETL/ELT pipelines using PySpark, Kafka, and distributed storage (HDFS/S3), processing 10M+ records daily to support NLP analytics, anomaly detection, and real-time reporting. Skilled in implementing Generative AI and agentic RAG-based solutions using OpenAI, Hugging Face, LangChain, and LangGraph to automate customer interactions, document parsing, and predictive financial insights. Proven expertise in developing cloud-native microservices with Django, Flask, Asyncio, Celery, and RabbitMQ, integrated with relational and NoSQL databases. Strong background in real-time RFID and telemetry integration using Azure IoT Hub, Cosmos DB, and Kafka, along with experience in NLP-driven fraud detection, data governance, and AI-powered data quality monitoring for enterprise systems.
Overview
7
7
years of professional experience
Work History
Sr Python Developer
Veristat
Massachusetts
10.2024 - Current
- Directed the design and development of Ascend, an AI-native platform, to enhance clinical trial analytics through modular boundaries and shared core libraries.
- Developed and implemented a robust FastAPI backend with asynchronous capabilities, leveraging SQLAlchemy 2.0 async ORM and PostgreSQL to support real-time SSE streaming and orchestrate background tasks for enterprise-level reliability.
- Engineered a statistical execution engine utilizing metadata to support regulatory-compliant outputs and ensure SAS output consistency in pharmaceutical workflows.
- Developed a robust R execution bridge with rpy2, implementing dynamic R script templating and variable compliance enforcement to support statistical reproducibility.
- Designed and implemented robust database structures with comprehensive logging and isolation features, while authoring migrations that support seamless updates without service interruptions.
- Developed a framework for model routing and streaming responses, ensuring conversation state persistence and deterministic tool invocation to enhance AI interaction with regulated data systems.
- Developed and maintained Python applications to streamline data processing workflows.
- Collaborated with cross-functional teams to gather requirements and implement software solutions.
- Designed and integrated observability measures using OpenTelemetry, enhancing system reliability through strict typing and performance testing frameworks.
Sr Python Developer
Ericsson
Haryana
11.2020 - 07.2022
- Developed and deployed end-to-end ETL/ELT pipelines to facilitate NLP analytics, anomaly detection, and real-time reporting, leveraging PySpark, Kafka, and distributed storage systems (HDFS/S3).
- Designed and integrated advanced generative AI frameworks to enhance intelligent document parsing and deliver predictive financial insights, minimizing manual intervention.
- Engineered comprehensive RFID reader system architecture, incorporating HEX/EPC chip mapping and multiple backend technologies to enhance asset tracking capabilities and data analytics.
- Engineered scalable microservices utilizing Django, Flask, and asyncio with Celery/RabbitMQ for efficient concurrent processing.
- Developed advanced NLP pipelines integrating sentiment analysis, NER, topic modeling, and anomaly detection to enhance fraud detection and ensure compliance.
- Developed automated anomaly detection systems for rigorous data quality monitoring, ensuring compliance and accuracy.
Python Developer
CMC Limited
Hyderabad
07.2019 - 10.2020
- Designed and implemented new functionalities while overseeing maintenance of all product features across modules and subsystems.
- Configured multiple MongoDB replica sets on EC2, focusing on achieving high reliability and performance.
- Constructed detailed Python dashboards, focusing on visual representation of client portfolio assets and ROI trends.
- Engineered systems in collaboration with asset management team for comprehensive tracking of investment lifecycles through Python programming.
- Created and integrated user types and necessary tools within existing modules to fulfill client requests for content management.
- Configured and optimized Snowflake stages for efficient loading of client investment and transaction data from external sources, maintaining rigorous data quality standards.
- Enhanced data validation and handling for report option selection across all three steps using jQuery, JavaScript, and CSS.
Education
Master of Science - Computer Science
Campbellsville University
Campbellsville, KY08-2024
Skills
- Python
- Pandas library
- Database management
- RESTful apis
- Python django
- Machine learning
- Linux environment
- Django framework
- NumPy library
- Git workflow
- Amazon web services (AWS) integration
- Scikit-learn library
- PyTorch library
- NoSQL databases
- SOAP
- TensorFlow library
Timeline
Sr Python Developer
Veristat
10.2024 - Current
Sr Python Developer
Ericsson
11.2020 - 07.2022
Python Developer
CMC Limited
07.2019 - 10.2020
Master of Science - Computer Science
Campbellsville University