Hire the Top 2% of
Remote Performance Optimization Developers

Kshitij D.

Vetted Performance Optimization developer in the United States (UTC-7)

Principal engineer and innovation leader with extensive expertise across enterprise and cloud software, hardware platforms, operating systems, memory and storage, distributed programming frameworks, machine learning, and microarchitecture. Focused on developing innovative software / hardware / AI-infused methods for optimizing performance, scalability, seamless hardware acceleration, and resource efficiency. Decades of experience in translating business requirements into software architecture, code development and integration, testing, and, optimizing from algorithmic to communication behaviors, and assembly level execution in enterprise and cloud scale deployments.

Matevos G.

Vetted Performance Optimization developer in the United States (UTC-8)

I have a solid background in creating and designing complex mobile applications for Android and iPhone, more than 15 years, 4 years of experience in project management, and 8 years of experience leading a team. Strategic Engineering Manager skilled in mobile architecture(Android & iOS) of modern technology. Accustomed to driving efficiency and effectiveness by developing, delivering, and supporting strategic plans. Demonstrated skill in translating technical requirements to business solutions. Successful 15 years record of building positive relationships with internal and external stakeholders. **\[Note\] I never stopped doing hands-on coding, even if I worked as a manager in my previous roles. Yeah, sure, not 100% per day. Check the experience I mentioned in detail.**

Adam C.

Vetted Performance Optimization developer in the United States (UTC-5)

Senior Web Developer / UI Developer with 17 years of professional experience, specializing in Front-End Development, UI Development, Responsive Design, Page Speed Optimization & performance (Web Perf), ADA Compliance (Accessibility), eCommerce, browser compatibility and JavaScript/jQuery animation. I am also a published author, public speaker, community organizer, lover of music, runner, kayaker and axe thrower. I have a strong background in project management, people management and customer relations. I’m not afraid to talk to clients and I have plenty of experience in the entire workflow of the sales process.

John P.

Vetted Performance Optimization developer in the United States (UTC-5)

Seasoned software and database developer with decades of experience – adept at creating, testing, and documenting applications and databases across diverse platforms. Proven track record of exceeding expectations, consistently delivering high-performing solutions. Recognized expertise in SQL Server database optimization, ensuring peak performance and efficient data management. Strong leadership capabilities, having successfully led cross-functional teams in database development projects. Excellent analytical and problem-solving skills, contributing to execution of key business initiatives.

Will H.

Vetted Performance Optimization developer in the United States (UTC-5)

I am a software engineer with over 15 years of experience, initially in full-stack engineering. I began specializing in iOS development in 2015, creating companion apps for Bluetooth LE-connected hardware. This led to a focus on macOS development, primarily for live stream video applications. Over the past 18 months, I've returned to iOS, working on projects in SwiftUI with Firebase backends. My expertise includes building scalable SaaS tools and enterprise software, leading teams to deliver high-quality applications across mobile, desktop, and web. My technical specialties encompass iOS/macOS apps, backend services for data migration and video transcoding, frontend SPAs, PWAs, and traditional web applications, as well as cross-platform app development and CI/CD pipelines. I am proficient in Windows development and cloud infrastructure management on AWS, GCP, and Firebase. Additionally, I bring extensive early-career experience in REST API and database development, shell scripting, process automation, and server administration.

Ron O.

Vetted Performance Optimization developer in the United States (UTC-7)

*** I am happy to answer questions in the chat for free/tips. I can usually help out in a session durring daytime hours PST or take on Freelance work anytime. *** I have been programming for over 23 years and for over 18 years professionally. Most of my experience is in the video game industry. Ive shipped titles on most of the major consoles since the PS2 era. I consider myself to be an expert with C/C++ as well as C# and .NET. I am very familiar with most types of technologies used in software solutions ranging from simple web clients all the way to complex multi process server systems.

Philip D.

Vetted Performance Optimization developer in the United States (UTC-4)

Dedicated Senior Data Engineer with over two decades of experience specializing in backend development, database management, and performance tuning. Consistently excelled in leading high-stakes projects to successful completion, including rescuing failing initiatives. A staunch advocate for test-driven development methodologies, ensuring seamless project delivery and robust outcomes.

Cardo M.

Vetted Performance Optimization developer in the United States (UTC-6)

Senior developer witha a lot of experience leading different sizes of development teams. Accostumed to add value to projects on any / every stage, from discovery to delivery. Strong empathy and assertiveness managing relationships with clients. More than 12 years of experience developing websites in React, Drupal, Wordpress and other CMS’s for government orgs, e-commerce and e-learning solutions, working both as a consultant or as part of multicultural teams for international projects. In depth experience developing mobile apps in Objective-C/Swift for iOS, Java/Kotlin in Android, and recently, Flutter for cross-platform solutions.

Carlos M.

Vetted Performance Optimization developer in the United States (UTC-6)

BI Qlik Expert with more than 12 years of experience in BI tools, who has a passion to build data products that are meaningful and valuable for the business, while ensuring the best decisions are made.

Gopal C.

Vetted Performance Optimization developer in the United States (UTC-5)

I am [Gopal Chitalia](https://scholar.google.com/citations?user=QncMQEIAAAAJ&hl=en), a graduate student at Purdue University and working with Prof. [Jan Anders Mansson](https://www.purdue.edu/engineering/mdlab/mansson/) on fault detection in motors using deep learning in a joint project with Wistron. Additionally, I'm working with Prof. [Junjie Qin](https://engineering.purdue.edu/people/junjie.qin.1) on transfer learning application using LLMs for optimizing power networks. I have had the privilege of working at [Center for Building Science Lab](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcbs.iiit.ac.in%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UCjKsb98EbNq8jGvbf%2F5TEETyHMI1gnMx20lLBeQmog%3D&reserved=0) under the supervision of Prof. [Vishal Garg](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.co.in%2Fcitations%3Fuser%3DvyH26MIAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=pDBa4RZtT0eg4rN%2FdvVtv3q%2F6goK1EEVT6%2F6UeGPcw4%3D&reserved=0). I have previously been a Research Assistant/Visiting ML Scholar at the [Smart Grid Research Unit](https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.sgru.eng.chula.ac.th%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UAp49aqIF2oxM3WIO5IS68gTyMLeYsKR5ENaosJMhvk%3D&reserved=0) (SGRU) under [Manisa Pipattanasomporn](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.com.sg%2Fcitations%3Fuser%3D4W2KIQkAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Pey86yYp3KpRPj9d9a97nzxLxQGMkQrN%2BFASqUqyheQ%3D&reserved=0) (Adjunct Faculty, Virginia Tech). In addition to my academic pursuits, I have also contributed to the industry in the domains of Energy Efficiency, IoT, and Machine Learning. I have worked at [ClevAir](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fclevair.io%2Fen%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=nonCkudNp3cFUL2CNs6rMHm0HyQXSnh9lhoJ76s5xus%3D&reserved=0) (Norway) as a **Data Scientist** and Growthworks.ai (CA, USA) as an **ML Scientist/Energy Demand Expert**. My research work on predicting short/long-term energy prediction in office/residential buildings using machine learning is published in [Applied Energy](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fabs%2Fpii%2FS0306261920309223%3Fvia%253Dihub&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=V%2Bq5MVSeJ7deNpE%2F%2FEP1PYrsrEVWEH%2FwNK1yAG4CPlM%3D&reserved=0). The results improve the state-of-the-art results by 20-40%. I am also an active reviewer at Applied Energy. Furthermore, I have collaborated on a building-level dataset paper which has been published in [Nature Scientific Data](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nature.com%2Fsdata%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=rtv6fVxtvuYsk5NAwwR8ujauC1AfX9cs32w4evIj%2BZU%3D&reserved=0). Previously, I have also worked with Prof. [Jyotirmay Mathur](https://scholar.google.co.in/citations?user=AmGPPL4AAAAJ&hl=en) at the [Centre for Energy & Environment](http://www.mnit.ac.in/dept_cree/index.php), MNIT Jaipur on Predicting time ahead heating/cooling energy demand HVAC systems. Moreover, as an independent research student, I also collaborated with Prof. [Praveen Paruchuri](https://scholar.google.com/citations?user=ILUqgKEAAAAJ&hl=en) of [Machine Learning Lab](https://mll.iiit.ac.in/), IIIT-H for Reinforcement Learning (RL) applications for controlling HVAC systems.