Amogh N. profile photo 1 on Tal

Amogh N.

SDE 2 @project44 | Java | Distributed systems | Designing Innovative Software Solutions | 3+ YOE

Bengaluru

4+ years of work experience

project44
Oct 202511 mosPresent

Hybrid

• Worked as an SDE-II on Bridge44, an AI assistant leveraging multiple MCP servers (Git MCP, Atlassian MCP, and others), contributing to core backend development, feature design, and system reliability. • Geospatial Risk Engine: Developed risk-aware geofencing with interdependence logic, reducing false-positive location errors by 75% and enabling real-time disruption visualization.
project44
Sep 20241 yr 2 mosOct 2025

On-site

• Developed innovative software solutions to enhance supply chain visibility for shippers. • Collaborated with cross-functional teams to integrate cutting-edge technologies into existing systems. • Designed a workflow-based state machine to monitor Port Dwell events, proactively detecting breaches beyond configured thresholds and preventing potential Demurrage \& Detention (D\&D) costs for enterprise clients. • Infrastructure Cost Optimization: Overhauled the geospatial rendering pipeline by optimizing Mapbox implementation. Achieved a 73% reduction in infrastructure costs while simultaneously improving map rendering performance for high-volume dashboards. • Platform Modernization: Led the zero-downtime migration of the core visibility portal from Node.js 14 to 20. Resolved critical security vulnerabilities and reduced technical debt by 15%, achieving 100% feature parity with improved long-term maintainability.
Restroworks
Oct 20221 yr 11 mosAug 2024

New Delhi

◦ Event-Driven POS Architecture: Architected a multi-tenant POS backend using AWS Lambda, SQS, and Amazon MSK (Kafka). Engineered asynchronous data pipelines to reduce bulk processing latency by 70%, supporting high-volume enterprise transactions. ◦ Observability Infrastructure: Built a centralized logging system using the EFK Stack (Elasticsearch, Fluentd, Kafka) to ingest SysLogs/Nginx data. Automated debugging workflows reduced Mean Time to Resolution (MTTR) by 80%. ◦ Analytics & Performance: Optimized MongoDB aggregation pipelines for complex reporting, achieving a 3x improvement in query speed. Implemented Redis caching strategies to enforce API rate limiting and system resilience. ◦ Workflow Automation: Developed a queue-based microservice for automated ticket routing, managing 200+ daily requests with 100% event capture, eliminating manual triage bottlenecks.
Attentioun
Jun 20225 mosOct 2022

Remote

LENS Corporation
Nov 20214 mosFeb 2022

• Operated on both Frontend and Backend part • Made UserInterface of 2 Flutter Apps. (Link) • Connected Backend made in Django with 2 Machine Learning models. • Worked with tflite while Integrating Machine Learning Model. • Created 2 models using Teachable Machine.
GitHub
@amogh-nagar
LeetCode
@amogh_nagar

Amogh’s AI Stack

antigravity
antigravity
claude code
claude code
codex
codex
cursor
cursor
deepmind
deepmind
github copilot
github copilot

Education

kendriya vidyalaya

kendriya vidyalaya

20127 yrs2019

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Headline

SDE 2 @project44 | Java | Distributed systems | Designing Innovative Software Solutions | 3+ YOE

About

With ~3 years of experience in technology, I am dedicated to driving innovation through scalable solutions. My passion for technology and continuous learning fuels my ability to optimize processes and deliver impactful results.

Location

Bengaluru

AI stack

antigravity

claude code

codex

cursor

deepmind

github copilot

Work experience

Software Engineer 2 at project44, Oct 2025 - Present · 11 mos, Hybrid, • Worked as an SDE-II on Bridge44, an AI assistant leveraging multiple MCP servers (Git MCP, Atlassian MCP, and others), contributing to core backend development, feature design, and system reliability. • Geospatial Risk Engine: Developed risk-aware geofencing with interdependence logic, reducing false-positive location errors by 75% and enabling real-time disruption visualization.

Software Engineer at project44, Sep 2024 - Oct 2025 · 1 yr 2 mos, On-site, • Developed innovative software solutions to enhance supply chain visibility for shippers. • Collaborated with cross-functional teams to integrate cutting-edge technologies into existing systems. • Designed a workflow-based state machine to monitor Port Dwell events, proactively detecting breaches beyond configured thresholds and preventing potential Demurrage \& Detention (D\&D) costs for enterprise clients. • Infrastructure Cost Optimization: Overhauled the geospatial rendering pipeline by optimizing Mapbox implementation. Achieved a 73% reduction in infrastructure costs while simultaneously improving map rendering performance for high-volume dashboards. • Platform Modernization: Led the zero-downtime migration of the core visibility portal from Node.js 14 to 20. Resolved critical security vulnerabilities and reduced technical debt by 15%, achieving 100% feature parity with improved long-term maintainability.

Software Engineer at Restroworks, Oct 2022 - Aug 2024 · 1 yr 11 mos, New Delhi, ◦ Event-Driven POS Architecture: Architected a multi-tenant POS backend using AWS Lambda, SQS, and Amazon MSK (Kafka). Engineered asynchronous data pipelines to reduce bulk processing latency by 70%, supporting high-volume enterprise transactions. ◦ Observability Infrastructure: Built a centralized logging system using the EFK Stack (Elasticsearch, Fluentd, Kafka) to ingest SysLogs/Nginx data. Automated debugging workflows reduced Mean Time to Resolution (MTTR) by 80%. ◦ Analytics & Performance: Optimized MongoDB aggregation pipelines for complex reporting, achieving a 3x improvement in query speed. Implemented Redis caching strategies to enforce API rate limiting and system resilience. ◦ Workflow Automation: Developed a queue-based microservice for automated ticket routing, managing 200+ daily requests with 100% event capture, eliminating manual triage bottlenecks.

Frontend Engineer Intern at Attentioun, Jun 2022 - Oct 2022 · 5 mos, Remote

Flutter Intern at LENS Corporation, Nov 2021 - Feb 2022 · 4 mos, • Operated on both Frontend and Backend part • Made UserInterface of 2 Flutter Apps. (Link) • Connected Backend made in Django with 2 Machine Learning models. • Worked with tflite while Integrating Machine Learning Model. • Created 2 models using Teachable Machine.

Education

kendriya vidyalaya

Public links

github: https://github.com/amogh-nagar

leetcode: https://leetcode.com/amogh_nagar