Daksh Verma

Software Developer at Techwondoe India (2025-01 – Present)

Led migration of a large monolithic Python application (250k+ LOC) into scalable FastAPI microservices, improving API response times by 30–40% while enabling independent service ownership, deployment, and scaling.
Designed and evolved 15+ REST APIs across distributed services, maintaining backward compatibility and clear data models while reducing integration issues by 25%.
Migrated the organization's API gateway ecosystem from Apigee to Node.js and TypeScript microservices, reducing platform costs by 40% while improving API observability, logging, and production debugging.
Provisioned and maintained AWS infrastructure using Terraform (IaC) across 3+ environments, supporting high-availability systems and reducing manual configuration effort by 50%.
Improved production reliability through structured logging, monitoring, and incident debugging workflows, reducing MTTR by 30% and helping maintain 99.9% system uptime.
Supported junior engineers through code reviews, technical guidance, and debugging sessions, contributing to code quality and onboarding.

Software Developer at Hcode Technologies (2023-01 – 2024-12)

Designed and shipped Node.js and FastAPI backend services supporting production financial workflows, translating business requirements into secure APIs and scalable distributed services.
Built event-driven data processing pipelines using AWS Lambda and SQS, asynchronously processing and routing high-volume workloads while improving processing time by 75%.
Developed low-latency distributed services using Node.js, Redis, and Kafka, supporting asynchronous event processing and scalable workloads under high concurrency.
Collaborated with product and frontend teams to translate business requirements into secure, scalable backend solutions.
Optimized MongoDB queries and indexing strategies, reducing API latency by 35%.

Associate Node.js Developer at Celebal Technologies (2022-02 – 2022-12)

Developed and maintained RESTful APIs using Node.js and Express to process high-volume operational data across 15 manufacturing plants.
Designed backend services and data flows supporting real-time dashboards used for operational monitoring.
Integrated third-party and internal REST APIs, handling external response formats, error scenarios, and data transformations to improve system interoperability and reliability.

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