Frontend Performance Engineer with React Optimization Expertise

Akash M.

Software Engineer

Work Authorization: EAD

Open to relocation anywhere in the U.S.

Seattle, WA 540-***-**** ****************@*****.***

LinkedIn: https://www.linkedin.com/in/akash-mishra-95862a1b7/

Professional Summary

Full-stack software engineer with 6 years of experience building scalable SaaS platforms, data workflows, and AI-assisted automation.

Proven expertise in React, Node.js, Python, .NET, and cloud-native architectures delivering production-grade systems.

Designed event-driven and queue-based systems processing 50K–100K daily messages with high reliability and fault tolerance.

Built AI-powered workflow automation and analytics features reducing manual setup and improving operational efficiency.

Experienced in AWS cloud deployments, containerization, CI/CD pipelines, and microservices for scalable, resilient applications.

Strong background in API integrations, distributed workflows, and telemetry ingestion for real-time data processing.

Collaborates cross-functionally in fast-paced startup environments with end-to-end ownership from design to deployment.

Exposure to AI/LLM integrations for intelligent automation, document Q&A, and predictive business insights.

Technical Skills

Languages:

JavaScript, TypeScript, Python, SQL, C#

Frontend:

React, Next.js, Angular, HTML5, CSS3

Backend:

Node.js, .NET Core, Django, REST APIs, Microservices

Databases:

PostgreSQL, MySQL, MongoDB, Redis

Messaging & Streaming:

RabbitMQ, Queue-based workflows, Event-driven processing

Cloud & DevOps:

AWS, Azure, Docker, CI/CD, Containerization

Data & Automation:

Data Pipelines, Workflow Automation, ETL, Data Processing

AI/ML & Intelligent: Systems:

LangChain, LLM API Integrations, AI-driven analytics, vector search basics

Practices:

System Design, Performance Optimization, Observability basics, Agile/Scrum

Professional Experience

Software Developer Intern

SargaSolutions — Miami, FL Aug 2025 – Dec 2025

Built and maintained .NET backend APIs supporting internal workflow systems, improving feature delivery speed and support turnaround.

Developed an AI-driven workflow automation module reducing manual configuration across 20+ routing scenarios.

Migrated a legacy website to Next.js, rebuilding 15+ pages with reusable components, improving maintainability and performance.

Built Angular dashboards for operational tracking, enabling faster issue detection and workflow monitoring.

Environment: .NET, Next.js, Angular, AI automation, REST APIs

Software Engineer

Larix Technologies — Gurugram, India Sep 2021 – Dec 2023

Designed backend services for an omnichannel messaging platform serving 10+ enterprise clients.

Developed 30+ Node.js, TypeScript, and Python microservices for message routing, lead handling, and workflow automation.

Built 45+ queue-based workflows and cron jobs using RabbitMQ, processing 50K–100K messages daily.

Integrated 8–10 third-party APIs and maintained AWS production systems, resolving queue delays and delivery failures.

Improved system reliability by troubleshooting failed jobs and optimizing message processing pipelines.

Environment: Node.js, Python, RabbitMQ, AWS, Microservices, APIs

Software Engineer

Datablare — Shimla, India Aug 2020 – Sep 2021

Built Python and Node.js services for telemetry ingestion across 90+ solar sites, enabling near real-time operational monitoring.

Developed 20+ scheduled workflows for data synchronization, queue processing, and backend automation.

Implemented RabbitMQ and PostgreSQL pipelines to process sub-minute telemetry data for reporting and forecasting.

Supported production IoT data pipelines, reducing data delays and improving system reliability.

Environment: Python, Node.js, RabbitMQ, PostgreSQL, IoT data pipelines

Software Engineer

Sort String Solutions — Lucknow, India Sep 2018 – Jul 2020

Built a sales automation platform using Django, React, MySQL, and Redis supporting core sales workflows.

Developed REST APIs managing 2K+ customer and lead records on AWS-hosted infrastructure.

Improved frontend performance with reusable React components, reducing page load times by 40%+.

Supported production deployments and stability improvements, reducing recurring release issues.

Environment: Django, React, Redis, AWS, REST APIs

Projects

BI AI Agent Platform

Built an AI business intelligence agent analyzing CSV, Google Sheets, and Stripe data to generate KPIs, trends, and forecasts.

Enabled non-technical users to access insights via AI-driven summaries and recommendations.

Developed using Python, AWS, and LLM integrations.

DocuGenie — AI Document Q&A System

Developed an AI-powered document Q&A system using embeddings and vector search for natural language queries over PDFs.

Improved response speed and accuracy with caching and optimized retrieval pipelines.

Built using Node.js, React, AWS, and LangChain.

Education

MS, Information Technology — Northern Arizona University, USA (2024–2025)

Bachelor of Computer Applications — Lucknow, India

Achievements

1st Place — Engineering Fest Fall 2025, Northern Arizona University.

Employee of the Month — Larix Technologies (3 ), Datablare (2 ).

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