Apr 2024 – Aug 2025 · 1 yr 4 mos · Bengaluru, Karnataka, India · On-site

• Developed and optimized backend systems for Asset Performance and Health Management platforms, processing high-frequency data from 5,000+ sensors every 5 minutes (10-second intervals), improving data throughput by 40% and system reliability by 99.9% uptime.
• Built a real-time data ingestion and distribution pipeline using messaging queues (RabbitMQ, AWS SQS), enabling seamless sharing of time-series sensor data and alerts across platforms, reducing latency by 60% and accelerating issue resolution by 30%.
• Built a multimodal data intelligence platform using LLama models, LangChain, and AWS RDS (PostgreSQL), along with MongoDB, integrating structured data from 6+ databases and unstructured data from 3 external APIs. Unified disparate data sources to generate context-aware insights via GenAI agents.
• Enabled cross-channel root-cause analysis and decision support, improving customer issue resolution speed by 40% and increasing insight accuracy by 35%, significantly reducing manual triage time and improving operational efficiency.

Jul 2023 – Apr 2024 · 9 mos · Bangalore · On-site

• Optimized the file processing workflow for vehicle quantum chipsets, resulting in improved data handling efficiency and faster processing times.
• Developed a scalable data stack environment capable of managing large file streams exceeding 1GB from multiple sources, parsing and converting data into sequence formats for further processing.
• Integrated the data stack with the quantum chipset, ensuring seamless functionality and enabling the feature’s successful rollout and production deployment.
• Automated gcov code coverage generation in Jenkins, achieving over 98% coverage, which enhanced product quality and significantly improved development standards.
• Developed a system to detect anomalies in automotive ECU sensor data, improving early fault detection by 30%.

Jan 2023 – Jun 2023 · 5 mos · Bangalore · On-site

• Developed a customizable, data-driven dashboard for oil extraction plants with dynamic widgets tailored to user needs, enabling real-time failure detection and predictive issue analysis by integrating data from Oracle databases via REST APIs.
• Designed AI-based time-series compression (3x) reducing storage by 40% and streamlining data transfer.

Jul 2020 – Aug 2021 · 1 yr 1 mo

• • Developed a Dispute Management Application within the Ninja Portal to effectively handle customer concerns and disputes, with a primary focus on managing issues arising from payment integrations.

May 2019 – Jul 2019 · 2 mos · Mumbai, Maharashtra, India · On-site

• Implemented a feature tweaking algorithm to calculate required input changes for specific machine output adjustments.
• Developed a predictive dashboard that optimized input values to reduce waste and increase system productivity.