Senior Python | AI & Data Engineer at Senpex

Developed and maintained an internal admin panel for sourcing and retail operations using Python, FastAPI, React, Tailwind CSS, JavaScript, and REST APIs to support end-to-end logistics workflows; built scalable product sourcing pipelines, integrated Keepa API and AI-based scoring models to analyze pricing history, Buy Box trends, demand signals, and margins; automated price extraction and dynamic pricing; implemented inventory management and event-driven order processing with Google Pub/Sub; created real-time data extraction from emails and portals using Playwright; built analytics dashboards; established CI/CD pipelines using GitHub Actions and deployed to AWS services.

Full Stack Developer at DevSamurai

Designed and developed a DNA validation and analytics platform using Python, FastAPI, and REST APIs; built scalable data ingestion pipelines, ETL workflows with Pandas and SQL; implemented AI-assisted disease risk assessment and an AI chat agent integrated into a React/Next.js frontend; implemented RBAC-secured patient results delivery and asynchronous background processing with FastAPI tasks and message queues; delivered analytics dashboards and CI/CD pipelines via GitHub Actions and AWS.

Software Developer at JigSaw

Contributed to a cloud-based IoT device management platform using Java (Spring Boot) and Python; built high-throughput telemetry ingestion pipelines, device onboarding and lifecycle management; implemented real-time alerting, AI-assisted anomaly detection, and scalable event-driven architectures with Kafka/RabbitMQ; delivered RBAC-secured, multi-tenant analytics and production-grade CI/CD for Java/Python services.

Software Developer at JigSaw

Contributed to a cloud-based IoT device management platform using Java (Spring Boot) and Python, enabling secure device onboarding, lifecycle management, and real-time telemetry ingestion at scale. Built high-throughput data ingestion pipelines to process device telemetry, supporting millions of events per day from heterogeneous IoT devices. Implemented device registration, authentication, and provisioning workflows for secure multi-environment device connections. Designed real-time alerting systems with rule engines and threshold-based logic, notifying users of anomalies and system issues. Developed AI-assisted anomaly detection pipelines and insight generation services. Implemented RBAC and multi-tenant architecture to ensure secure data isolation and controlled access. Deployed production workloads with CI/CD pipelines and infrastructure monitoring.

Senior Python | AI & Data Engineer at Senpex

Developed and maintained an internal admin panel for sourcing and retail operations using Python, FastAPI, React, Tailwind CSS, JavaScript, and REST APIs to support end-to-end logistics workflows. Built scalable product sourcing pipelines collecting leads from Amazon, retailer websites, and social media to enable wholesale opportunity tracking and evaluation. Integrated Keepa API and AI-based decision models to automatically analyze Amazon pricing history, Buy Box trends, demand signals, and profit margins, reducing manual sourcing analysis by over 60%. Implemented AI-driven scoring logic to assess wholesale purchase viability, followed by manual confirmation workflows, ensuring accuracy and compliance with sourcing policies. Automated Amazon Buy Box price extraction to dynamically calculate competitive listing prices for FBM/FBA products to optimize margins and sales velocity. Designed and implemented inventory management systems covering inbound, outbound, and available stock, with C