ScreenedIdentity Verified
No cost, no commitment - we'll make a personal intro
Mohammed Mudassir Hussain Shaikh - Software Engineer in Tempe, AZ

Mohammed Mudassir Hussain Shaikh

Entry-Level Full-Stack Software Engineer specializing in serverless AWS and AI applications

Indian ServersArizona State UniversityTempe, AZ1 Years ExperienceEntry LevelWorks On-Site

Connect with Mohammed

Mohammed already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

Recommended

Already have an account?

About

Built and deployed serverless AWS applications (Lambda/S3/RDS Proxy) including a NASA L’Space React + Python data analysis tool, focusing on performance for large datasets. Demonstrates strong cloud troubleshooting across compute and networking (CloudWatch-driven diagnosis, EC2 scaling, security group fixes) and a user-driven iteration loop that improved product usability with dynamic filtering and interactive UI.

Hire with Reval

Find your next great hire

Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.

$250one-time kickoff
10%on successful hire
Post a Role90-day money-back guarantee

Key Strengths

  • Deployed React + Python backend tool on AWS Lambda (serverless) for NASA L’Space project
  • Performance optimization for large spreadsheet/data queries via server-side filtering and frontend re-render reduction
  • Systematic debugging across cloud layers using CloudWatch logs/metrics (Lambda timeouts, EC2 CPU saturation, networking rules)
  • AWS networking troubleshooting and remediation (security group rules for Lambda subnet traffic)
  • Built auto-scaling serverless architecture using Lambda, S3, and RDS Proxy; tuned Lambda concurrency to reduce latency
  • Customer/user collaboration: requirements sessions, walkthroughs, and iterative updates based on feedback (shifted from static view to dynamic filters)

Like what you see? We'll introduce you to Mohammed directly.

Experience

Software EngineerMind Spark · Sep 2025 – Dec 2025
Software EngineerNASA L’Space · Jan 2025 – Present
Machine Learning InternIndian Servers · Sep 2021 – Dec 2021internship
Frontend Software EngineerMind Spark · Sep 2025 – Present

Education

Arizona State Universitymaster, Information Technology (2025)
Osmania Universitybachelor, Computer Science (2022)

Languages

English

Similar Candidates

Shreya Roy Koneri - Mid-level Software Engineer specializing in backend microservices and real-time payments in Phoenix, AZ

Mid-level Software Engineer specializing in backend microservices and real-time payments

Phoenix, AZ5y exp
American ExpressUniversity of Dayton

Product-minded full-stack engineer who has owned customer-facing platforms end-to-end, including a unified web UI platform that increased adoption by 30% using feature flags and phased rollouts. Experienced designing TypeScript/React systems with microservices and RabbitMQ at scale, addressing reliability issues with DLQs, retries, and idempotent consumers, and building internal analytics tooling adopted company-wide within weeks.

View profile
Neha Baadadmath - Executive Software Engineering Leader specializing in Trading, Payments, and FinTech platforms in Phoenix, AZ

Executive Software Engineering Leader specializing in Trading, Payments, and FinTech platforms

Phoenix, AZ18y exp
LPL FinancialVisvesvaraya Technological University

Entrepreneurially minded operator with experience in trading-platform environments who prototyped a vector-database layer to generate contextual incident narratives and reduce MTTR/escalations. Also building a non-tech venture: luxury wine distribution into India and broader Asian markets, sourcing directly from wineries with a Master of Wine and planning tier-1 launch via restaurant-owner connections while navigating complex import duties and licensing.

View profile
TL

Senior Full-Stack Software Engineer specializing in cloud-native web applications

Gilbert, AZ6y exp
InkSoftLincoln College
View profile
RK

Rohit Khoja

Screened

Mid-level Full-Stack Engineer specializing in cloud microservices and NLP/LLM systems

Tempe, AZ4y exp
CitigroupArizona State University

Full-stack engineer with 3+ years using Java/Spring Boot (Citi) and React, who built a production observability dashboard monitoring 53 microservices across 17 clusters with real-time health/latency tracing and significant performance improvements (cut load time from ~10s). Also designed a serverless AWS face-recognition system (Lambda/S3/SQS) built to handle burst traffic (~1000 concurrent requests), demonstrating strength in scalable, event-driven architectures.

View profile
Abhishek Yadav - Mid-level Full-Stack Software Engineer specializing in cloud-native FinTech and SaaS platforms in Tempe, Arizona

Mid-level Full-Stack Software Engineer specializing in cloud-native FinTech and SaaS platforms

Tempe, Arizona5y exp
CitigroupArizona State University
View profile

Interested in Mohammed?

We'll personally introduce you - no strings attached.

For Hiring Teams

Build your dream team with Reval

Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.

$250one-time kickoff
10%on successful hire
48hrsto first candidates
Post a Role90-day money-back guarantee. A fraction of traditional agency fees.

Discover more candidates like Mohammed

Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.

Search Talent

Connect with Mohammed

Mohammed already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

Recommended

Already have an account?

Hire with Reval

Find your next great hire

Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.

$250one-time kickoff
10%on successful hire
Post a Role90-day money-back guarantee
Mohammed Mudassir Hussain ShaikhEntry-Level Full-Stack Software Engineer specializing in serverless AWS and AI applications