Abhijeet Debadwar

Software Engineer

Mumbai, Maharashtra, India4 yrs 9 mos experience

Key Highlights

Expert in microservices architecture and full-stack development.
Led teams and managed projects under strict deadlines.
Strong background in machine learning and AI applications.

Stackforce AI infers this person is a Backend-focused Software Engineer with strong expertise in E-commerce and AI/ML solutions.

Contact

abhijeet@monkcommerce.com LinkedIn

Skills

Core Skills

MicroservicesBackend DevelopmentTeam LeadershipSalesforce ManagementMachine Learning

Other Skills

AlgoAlgorithmsAmazon CloudWatchAmazon SQSAmazon Web Services (AWS)Analytical SkillsApache KafkaApex ProgrammingAzure Virtual MachinesBambooBitbucketBusiness DevelopmentC++Cascading Style Sheets (CSS)Cloudflare

About

Highly motivated software engineer with 3 years of experience in designing and developing scalable, secure solutions. Expertise in microservices architecture, full-stack development, and machine learning, complemented by strong problem-solving skills.

Experience

4 yrs 9 mos

Total Experience

11 mos

Average Tenure

11 mos

Current Experience

Monk commerce

Software Development Engineer 2

May 2025 – Present · 11 mos

Monk Commerce has primarily 2 software products, Monk & Upro. I work as a Backend developer for the Upro app.
Key Contributions:
Drove optimization to the Shopify product-sync pipeline by introducing context-based selective store data syncing, improving performance and cutting infrastructure costs through reduced MongoDB I/O
Implemented Shopify Flow triggers for various credit limit and order-related events, enabling merchants to automate workflows and take appropriate post-event actions directly within Shopify.
Enhanced product compatibility with Shopify’s latest Markets feature by enabling market product synchronization across all region-based and B2B markets. I did POC on Shopify Markets, their applicability for given customer context & implemented the same.
Designed and implemented an advanced Order Logs Search feature for the Shopify App Admin panel, allowing merchants to efficiently search across multiple bulk order-related events (catalog downloads, uploads, orders placed, etc.) using flexible, parameter-based filters.
Developed internal APIs for the support dashboard, empowering customer support executives to quickly access customer data and simulate reported issues for faster troubleshooting.
Built a robust CSV/XLSX catalog sorting module, allowing merchants to configure and customize sorting options to suit their business needs—streamlining bulk order management, improving operational efficiency, and enhancing overall merchant experience.

Go (Programming Language)MySQLCloudflareAmazon SQSAmazon CloudWatchMongoDB+5

Logiscope technologies pvt. ltd.

Lead Software Engineer

Nov 2024 – May 2025 · 6 mos

Team Lead / Backend Developer
Key Contributions:
Led a team of 8 developers, setting clear goals, delegating tasks effectively, and ensuring timely delivery of key milestones under strict deadlines.
Collaborated cross-functionally with the marketing team and business leads to align technical development with strategic objectives and go-to-market plans.
Conducted product demos for stakeholders and prospective clients, effectively communicating product capabilities, new features, and enhancements.
Enhanced Logiscope’s product suite by resolving critical bugs and driving feature improvements. Notably, redesigned the Incident & Alerts Configuration module, improving system robustness, flexibility, and user experience.
Researched and documented emerging security threats, focusing on log-based detection methods and providing insights for future product integrations.
Led end-to-end technical interviews for engineering hires, ensuring high technical standards, effective onboarding, and continuous team growth.

Business DevelopmentPostgreSQLTeam ManagementCore JavaLeadershipAzure Virtual Machines+3

Career break

Gap year

Feb 2023 – Jun 2024 · 1 yr 4 mos

Attempted UPSC CSE 2024

Telstra

2 roles

Software Engineering - Senior Associate

Oct 2022 – Jan 2023 · 3 mos

Backend Developer – B2B (CMS Domain)
Key Responsibilities & Contributions:
Developed and onboarded new microservices, contributing to the design and implementation of core functionalities that supported key CMS-driven B2B workflows.
Performed microservice performance tuning, leading a proof of concept (POC) to identify system bottlenecks and optimize performance, successfully improving load capacity to meet defined non-functional requirements (NFRs).
Implemented a POC for Redis cache integration, enhancing data retrieval performance and laying the groundwork for future caching strategies across services.

RedisPivotal Cloud Foundry (PCF)DebuggingCore JavaBambooSplunk+10

Software Engineering - Associate

Jul 2021 – Oct 2022 · 1 yr 3 mos

Backend Developer – B2B (CMS Domain)
Key Responsibilities & Contributions:
Worked as both Salesforce Administrator and Developer, managing user support tickets, resolving general queries, and maintaining smooth workflow operations within the Salesforce ecosystem.
Implemented a break-build mechanism in the Bamboo CI/CD pipeline for Coverity scans, enabling early detection of security vulnerabilities in the codebase and preventing potential issues from reaching production.
Addressed and resolved security and quality bugs across multiple microservices, ensuring system reliability, performance, and compliance with security best practices.

Pivotal Cloud Foundry (PCF)Core JavaBambooSplunkJiraAnalytical Skills+7

Airpix

AI ML and Edge Computing Intern

Jun 2020 – Sep 2020 · 3 mos · Mumbai, Maharashtra, India

AI Intern – Face Recognition Project
Key Contributions:
Analyzed multiple face recognition models available in the market within a short internship duration, conducting a detailed comparison based on accuracy, performance, and implementation complexity.
Performed parameter analysis to evaluate critical factors influencing model efficiency, including image resolution, lighting conditions, and model training data.
Explored and experimented with various data clustering algorithms, gaining hands-on experience in unsupervised learning techniques applicable to facial feature grouping and identity matching.

Machine LearningCode ReviewVersion ControlDeep LearningFacial Recognition