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Abhijeet Upadhye

3.8· 5 reviews
Average ratingAverage
3.8/ 5

Based on 5 reviews

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Questions about Abhijeet Upadhye

Based on 5 reviews, listing data and website checks · updated 2 days ago

What is the history of Abhijeet Upadhye's career?

Abhijeet Upadhye's career arc shows a progression from TCS in 2009, where he earned a Six Sigma Green Belt by cutting build times by 35%, to Symantec from 2013 to 2020, where he started as an intern writing C++ kernel drivers and UEFI pre-boot code. He grew into full-stack development at Symantec, designing single-click AWS orchestration and Aurora DB schemas. He has been with Wayfair since at least 2020.

What do reviewers praise about Abhijeet Upadhye?

Some reviewers praise his measurable impact, specifically citing a 90% latency reduction and the ability to deliver 1000 RPS APIs. Others highlight his architectural breadth, noting his experience from Windows kernel and UEFI pre-boot to reactive microservices on Kubernetes. He is described as a force multiplier who mentors engineers and produces C4 diagrams and RFCs to make teams faster and more aligned.

What specific technologies and platforms does Abhijeet Upadhye work with?

The profile states he delivers systems that handle real-world load at enterprise scale, with a focus on production-grade instincts including blue-green deployments, distributed caching, and schema registries. He emphasizes security, observability, and operability as first-class concerns in his development approach. His background spans kernel drivers and UEFI development in C++, Java backend systems, and Angular frontend work.

How does Abhijeet Upadhye choose his technology stack?

The profile mentions he is wedded to good engineering rather than a single stack, picking the right tool for the job whether it is Java, Kotlin, Python, TypeScript, or C++. He uses Spring Boot, FastAPI, and Node for both reactive and non-reactive systems. He also utilizes CloudFormation, Helm charts, and Kafka event streaming for production-grade systems.

How does Abhijeet Upadhye collaborate with stakeholders?

Abhijeet Upadhye's approach to stakeholder fluency involves partnering with Product, Analytics, Release Engineering, and external vendors. He translates business goals into architecture, writes the spec, and builds consensus to deliver results. He is comfortable communicating from the board room to the terminal, ensuring alignment between business objectives and technical implementation.

How does Abhijeet Upadhye influence architectural decisions?

The profile states he makes architecture decisions informed by 13 years of seeing what works and what does not. He produces RFCs and runs design walkthroughs to ensure teams are aligned. He also translates OKRs into tech specs, which helps in setting clear expectations and goals for the engineering team.

What measurable results has Abhijeet Upadhye achieved?

Abhijeet Upadhye's measurable impact includes SLO dashboards that reduced MTTR (Mean Time To Repair). He adopted observability as the gold standard and created systems that move metrics that matter to the business. His work at Wayfair involves delivering systems that handle real-world load at enterprise scale.

How can someone engage Abhijeet Upadhye for a project?

Abhijeet Upadhye's website states he is available for Staff and Principal engineering roles. He emphasizes his ability to build systems that scale and his experience with enterprise-level projects. He is open to discussing new opportunities and how his skills can benefit potential employers.

What types of clients and industries has Abhijeet Upadhye worked with?

The profile mentions he has a history of working with Fortune 500 clients, including debugging multi-threaded processes and analyzing CPU dumps. He also has experience with HP NonStop products and Aurora DB schemas. His work at Symantec involved designing single-click AWS orchestration and growing from an intern to a senior engineer.

What specific skills does Abhijeet Upadhye offer to a team?

Abhijeet Upadhye's profile highlights his ability to mentor engineers and produce C4 diagrams and RFCs. He also runs design walkthroughs and translates OKRs into tech specs. His approach to stakeholder fluency involves partnering with Product, Analytics, Release Engineering, and external vendors to build consensus and deliver results.

What is Abhijeet Upadhye?

Abhijeet Upadhye is a business listed on Trustburn. Abhijeet Upadhye is an individual professional presenting himself as a Staff/Principal Engineer with over 13 years of experience in software engineering.

What is the official website of Abhijeet Upadhye?

The official website of Abhijeet Upadhye is abhijeetupadhye.com.

How is Abhijeet Upadhye rated on Trustburn?

On Trustburn, Abhijeet Upadhye has a rating of 3.8 out of 5 based on 5 reviews.

AI-generated from reviews on this page. Verify anything important with the company directly.

James Miller
Reviews 1

It is cool to see such a wide range of technologies covered, from kernel drivers to AI-driven testing with Gemini. The mix of Java, Kotlin, and TypeScript shows real versatility. Seems like a solid choice for teams needing deep backend architecture help.

David Chen
Reviews 1

For organizations grappling with high-load backend challenges, the demonstrated experience in building reactive, event-driven systems using Kafka and Spring Webflux is particularly compelling. The transition from low-level systems programming in C++ to cloud-native architectures on Kubernetes and GCP indicates a rare breadth of engineering knowledge. The ability to mentor engineers and produce clear RFCs suggests that this professional can effectively elevate team standards. The specific mention of reducing latency by ninety percent and handling real-world load at enterprise scale provides concrete evidence of performance optimization skills. Additionally, the polyglot proficiency across Java, Kotlin, Python, and TypeScript allows for flexible technology selection based on project needs rather than tool preference. The focus on observability, SLO dashboards, and distributed caching further confirms a production-grade approach to system reliability. This comprehensive background makes a strong case for engaging this expertise for complex, scale-critical engineering projects where architectural decisions need to be informed by deep, practical experience across the entire stack.

Elena Vance
Reviews 1

Abhijeet Upadhye’s career arc from kernel drivers at Symantec to platform architecture at Wayfair demonstrates a deep, full-stack understanding of distributed systems. The ability to handle 1000 RPS on Spring Webflux and reduce latency by ninety percent suggests strong technical competence. Yet, the website does not explicitly state what specific consulting engagements or project scopes are available. For someone considering this company for a specific infrastructure overhaul or architecture review, the available information leaves several practical questions unanswered regarding deliverables, timeline expectations, and engagement models. It is advisable to verify the exact scope of services offered before committing to any potential collaboration, as the current presentation focuses heavily on personal achievement metrics rather than client service structures.

Marcus Thorne
Reviews 1

The listed expertise in reactive microservices and Kubernetes is impressive for high-scale backend work. However, the site lacks specific service tiers or pricing models. From the information available, it is unclear how these technical capabilities translate to cost for smaller engineering teams seeking staff-level support.

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About Abhijeet Upadhye

Abhijeet Upadhye is an individual professional presenting himself as a Staff/Principal Engineer with over 13 years of experience in software engineering. His background spans kernel drivers and UEFI development in C++, Java backend systems, and Angular frontend work, and he currently works on reactive, event-driven systems using Spring Webflux and Kafka at Wayfair. His prior employers include Wayfair, Symantec, Broadcom, Proofpoint, and TCS. His stated technical skills include Java, Kotlin, Python, TypeScript, C++, Spring Boot, FastAPI, Node, Kafka, GraphQL, AWS, GCP, and Kubernetes. The page states he is open to Staff and Principal engineering roles and lists experience with measurable outcomes such as latency reduction and high-RPS APIs.