Thinaharish M

Python Full Stack Developer who built and maintained core systems — frontend, database, and backend — for a large-scale Amazon PPC automation platform managing 50,000+ active campaigns and 2L+ keyword bid optimizations across 1,000+ products in the US, CA, and UK marketplaces. Built the bid optimization engine, rule-based automation engine, and Generative AI-powered chatbot that power the platform, alongside REST APIs, MySQL database design, Redis caching for high-volume data processing, and Angular front-end interfaces. Skilled in Django, Django REST Framework, MySQL, and REST API integration, with working exposure to AWS (S3, RDS).

Software Developer - iTrends Solutions

(2025-06 - 2026-05)

Project 1: Amazon Ads Optimization Platform (50,000+ campaigns, 2L+ keywords, 1,000+ products — US, CA, UK)

• Keyword-level bid optimization: built a bid customizer enabling marketing users to optimize bids across up to 200 keywords within a minute, part of a platform-wide backend handling 2L+ keyword bid optimizations across 1,000+ products.
• Keyword Live Manager (rule-based automation): designed the backend scheduled engine, running every hour with no manual intervention across 50,000+ campaigns, where users define conditions and actions (e.g., ACOS > 40% → decrease bid by 10%) that are automatically evaluated and applied.
• History tracking & campaign controls: built history tracking and logging for the Keyword Live Manager and rule-based automation, plus campaign/keyword pause-enable actions, placement percentage adjustment, filters, pagination, and sorting for large keyword sets.
• Budget automation: designed automated workflows to set and dynamically adjust ad campaign budgets across 1,000+ products, and to automatically pause spend once a campaign hit its budget threshold — eliminating unwanted ad spend wastage.
• Search term data pipeline: automated the daily download and storage of search term keyword data, replacing a manual daily check with each cron run's success/failure logged for monitoring and troubleshooting.
• Amazon Order Management dashboard: built a page tracking organic and inorganic sales orders in graph and table formats across US, CA, and UK marketplaces, comparing yesterday, day-before, and same-day-last-week data across ASIN, SKU, parent/child, and niche level.
• Agile collaboration & code quality: worked within an Agile team alongside marketing, product, and QA stakeholders to prioritize requirements; participated in code reviews and testing of automation workflows to ensure well-documented, maintainable, production-ready code.
• Real-time data at scale: worked with backend data serving dashboards and tables routinely handling 50,000+ campaigns, 2L+ keywords, and high-volume order data without performance degradation.
• Query & caching optimization: resolved N+1 query issues using select_related/prefetch_related, and applied Redis caching and indexed queries across data-intensive modules to keep response times fast under heavy data loads.
• Secure, tested APIs: used JWT-based authentication with Role-Based Access Control (RBAC) and HTTP-only cookies for secure access; used Git for version control and Postman for API testing throughout the development lifecycle.

Software Developer - iTrends Solutions

(2025-06 - 2026-05)

Project 2: AI-Powered Ads Optimization Tool (Generative AI)

• Budget reset automation: implemented global and product-wise budget reset options based on marketing user needs, across Sponsored Products (SP), Sponsored Brands (SB), and Sponsored Display (SD) campaign types.
• Low-inventory alerting: developed an automated alert emailing the relevant product owner and MD when inventory stock falls below a threshold, helping prevent stockouts and missed sales.
• AI bid-suggestion chatbot & Angular front-end: built a conversational chatbot suggesting bid values from historical performance data, plus the Angular front-end for budget resets, low-inventory alerts, and chatbot interaction.

Intern - Adhoc Solutions Pvt. Ltd.

(2024-04 - 2024-08)

Project: E-Commerce Platform for Farmers

• Platform development: developed an e-commerce website for farmers using Python, Django, MySQL, and JavaScript — covering product listings, cart, and order handling, with interactive front-end features for a smoother, more responsive user experience.

Bachelor of Engineering - Electronics and Communication Engineering (ECE) - SNS College of Technology (2023)