# Sharik U Zama Mohammed

> Software Engineer | Backend, Distributed Systems, Cloud Infrastructure, Microservices, REST APIs | Java, Python, AWS

Location: San Francisco, California, United States
Profile: https://flows.cv/sharik

I'm a Software Development Engineer at Amazon, where I build large-scale distributed systems, real-time data pipelines, and ML-powered platforms that process 500M+ daily events and drive $100M+ in business impact.

My expertise spans:
• Backend & Distributed Systems: Java, Python, Spring, AWS Lambda, DynamoDB, microservices architecture
• Data Engineering at Scale: Kafka, Spark, PySpark, Hadoop, real-time analytics pipelines processing 50M+ events/day
• Cloud Infrastructure: AWS (Lambda, S3, EC2, ECS, CloudWatch, Kinesis), Docker, Kubernetes, CI/CD automation
• Full-Stack Development: React, Node.js, Angular, RESTful APIs
• AI/ML Integration: AWS Bedrock, Claude, GPT, LLM-powered systems

Key impact:
• Architected publisher monetization platform generating $72M/year in new revenue
• Led monolith → microservices migration, reducing runtime from 12 hours to 90 minutes (88% improvement)
• Built LLM-powered ingestion parser eliminating $1M/year in vendor costs
• Mentored 2+ SDE interns and drove 90%+ test coverage across 7+ services

I'm passionate about building scalable, reliable systems that solve real business problems. Whether it's optimizing ad auction mechanisms, processing massive event streams, or designing robust infrastructure, I thrive on technical challenges at scale.

Open to connecting with engineers, hiring managers, and teams working on distributed systems, AdTech, data engineering, and cloud infrastructure.

## Work Experience
### Senior Software Engineer @ Oracle
Jan 2026 – Present | San Francisco Bay Area

### Software Development Engineer @ Amazon
Jan 2022 – Jan 2026 | New York, NY
- Built a scalable backend system for seller-appeals on AWS (Lambda, Stepfunctions, DynamoDB) processing 25M listings/month, reducing resolution time from 3 days → 4 hours.

- Led migration of a legacy monolith service into distributed Java microservices, cutting batch runtime from 12 hours to 90 minutes and enabling 3× future scale.

- Developed monitoring & observability infrastructure (CloudWatch dashboards, alarms, runbooks) handling 1M API calls/day, removing 80 hours/month of manual ops work for PMs/SDMs.

- Built an LLM-powered ingestion parser using AWS Bedrock (Claude 3) to auto-backfill product attributes, reducing manual workload by 40% and eliminating $1M/year in vendor costs.

- Implemented a data engineering reporting and analytics system on 50M daily events (impressions, bids, pixels) reducing manual reporting by 80%.

- Integrated 4 major publishers via OpenRTB with Amazon Ad Exchange, projected to drive over ~$50M in annual ad revenue.

- Architected and launched a fee-based monetization platform for AdX and Payments, generating $6M/month ($72M/year).

- Drove engineering quality initiatives achieving 90% test coverage across 7 services, improving deployment confidence, and lowering incident MTTR by 60%.

- Mentored 2 SDE interns on AWS best practices, service architecture, and team pipelines, guiding them through onboarding and their first code contributions.

### Junior Developer @ University of North Carolina at Charlotte
Jan 2022 – Jan 2022 | Charlotte, North Carolina, United States
Skills used: Java, Python, React.js, PHP, MySQL
- Added registration and scheduling features to the Canvas portal used by 10K+ students, improving registration efficiency by ~30%
- Redesigned scholarship portal UI and optimized search queries, reducing average page load time from 4.2s to 2.1s
- Developed automated sync scripts processing 15K+ student records daily between Canvas and backend systems
- Built filtering system with 8 criteria parameters and ranking algorithms serving 3k+ active scholarship seekers

### Software Engineer @ Apisero Inc.
Jan 2020 – Jan 2021 | Hyderabad, Telangana, India
Skills used: Java, SQL, Mulesoft, Salesforce, Okta Integrations, Agile, Cloud technologies, CI/CD 
- Delivered Mulesoft-based data integrations for a Tier-1 banking client handling OFAC-sensitive data, generating ~$4M revenue
- Re-architected test strategies across services, achieving 95% code coverage and reducing critical prod bugs to under 5 per release
- Authored 4+ technical guides for Identity Management and Okta, reducing developer onboarding from 3 weeks to 1 week
- Achieved Mulesoft Platform Developer Certification, proving expertise in API design, integration flows and data transformation

### Software Engineer Intern @ EPAM Systems
Jan 2020 – Jan 2020 | Hyderabad Area, India
Skills used: Java, JavaScript, Python, TypeScript, API integration, Git, ReactJS, SQL
- Integrated Google payments and maps APIs under mentorship, enabling 100% payment reliability and real time location accuracy
- Developed APIs for user authentication and integrated React front-end components, reducing data fetch latency by ~25%
- Developed admin dashboards for QA and feature monitoring with real-time alerts covering 12+ critical metrics
- Automated deployment scripts for staging environments, reducing manual setup time from 90 to 30 mins


## Education
### Master's degree in Computer Science
University of North Carolina at Charlotte
Jan 2021 – Jan 2022

### Bachelor of Technology in Information Technology
VNR Vignana Jyothi Institute of Engineering and Technology (VNRVJIET)
Jan 2016 – Jan 2020

### High School/Secondary Diplomas and Certificates
Abhyasa International school
Jan 2010 – Jan 2012


## Contact & Social
- LinkedIn: https://linkedin.com/in/mshariku

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Source: https://flows.cv/sharik
JSON Resume: https://flows.cv/sharik/resume.json
Last updated: 2026-03-23