Umesh Singh
Open to work3 years experienceLead Engineer
Software Engineer experienced in backend, iOS, and automation.
Standing Rank
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Skills & Technologies
35 skillsGitHub Activity Evidence
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Work Experience
Graduate Intern Technical
Intel
- Designed and implemented an end-to-end Python backend data pipeline by integrating data from multiple REST APIs, modeling and storing normalized data in MongoDB, developing optimized REST endpoints, and enabling seamless frontend visualization within Intel’s internal engineering platform.
- Migrated distributed Celery workloads to Kubernetes CronJobs while enhancing an enterprise automation platform, improving scheduling reliability and reducing service deployment time.
- Developed reusable Vue.js components and backend integrations for Intel’s OneKit platform while contributing to an AI-powered assistant using Large Language Models for internal engineering workflows.
- Served as the Scrum Master for the team, facilitating daily standups, sprint planning, backlog grooming, and retrospective meetings, ensuring smooth Agile execution and on-time delivery of sprint goals.
Software Engineer
Raja Software Labs
- Investigated production issues using Xcode Instruments and crash analytics, improving LinkedIn iOS crash- free sessions by15%for10M+users.
- Designed and implemented LinkedIn’s Alternative Text for Images accessibility feature using Swift, UIKit, and VoiceOver, improving accessibility for visually impaired users.
- Migrated100+production UI screens to Auto Layout, reducing layout regressions by3%.
- Optimized GraphQL data fetching, reducing API latency by40%.
Associate Application Developer
Accenture
- Automated accessibility testing across20+enterprise web pages using Selenium, JUnit and Java.
- Resolved50+production defects through log analysis and root-cause investigation, improving application stability.
Projects
Quantum Image Super-Resolution using Hybrid Quantum-Classical Computing
- Designed and benchmarked15 classical, quantum, and hybrid image super-resolution algorithms for 2×image upscaling using Python and Qiskit.
- Proposed three novel hybrid quantum architectures integrating Quantum Attention, Quantum Fourier Transform, and Quantum Entanglement for image enhancement on NISQ-compatible quantum circuits.
- Evaluated models using PSNR, SSIM, MSE, EPI, execution latency, circuit depth, and qubit utilization to analyze performance and quantum resource trade-offs.
Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
Assessments Not Completed
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AI Collaboration Score
AI Collaboration Score Pending
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Role Compatibility Profile
Role Compatibility Analysis Pending
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Achievements
LinkedIn iOS Performance Improvement
Improved LinkedIn iOS crash-free sessions by 15% for 10M+ users.
GraphQL Optimization
Reduced API latency by 40% through optimized GraphQL data fetching.
About Details
Professional Bio
Software Engineer with experience in backend development, iOS engineering, and automation. Skilled in Python, Java, Swift, and cloud technologies with a focus on building scalable systems and improving application performance.
M.Tech in Computer Science Engineering
NIT Warangal (2024 - 2026)
B.E. in Computer Science Engineering
University of Mumbai (2017 - 2021)