Vignesh Radhakrishna

Senior Software Engineer

San Francisco, California, United States6 yrs 5 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in building scalable AI infrastructure.
Reduced turnaround time by 66% in production environments.
Published research at NeurIPS workshop.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in AI and Machine Learning infrastructure.

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Skills

Core Skills

Distributed SystemsMachine LearningDeep LearningNlpMicroservice ArchitectureCloud-native DeploymentsComputer Vision

Other Skills

PythonGoData LabelingGenerative AIMySQLRESTful APIKubernetesCloud-nativeAPI ServicesDjangoElastic StackJavaAmazon Web Services (AWS)

About

I am an accomplished Software Engineer with 6 years of experience, currently building high-impact AI infrastructure at Meta Platforms. My career is dedicated to solving complex engineering challenges at the intersection of Distributed Systems and Machine Learning. My primary focus includes: Context Engineering: Designing and deploying highly scalable, real-time retrieval tool infrastructure (MCP-based RAG) that ensures Business AI Agents provide accurate and contextually relevant responses. Platform Leadership: Leading the development of 0-1 GenAI annotation and RLHF platforms, driving data quality and establishing comprehensive data lineage for model optimization and enterprise scalability. Core Engineering: Expertise in resilient microservice architecture (Go, Python), cloud-native deployments (Kubernetes, AWS EKS), and proven ability to deliver high-performance solutions, including a Computer Vision application that reduced turnaround time by 66% at Soroco. Let's connect to discuss the future of AI infrastructure and system design.

Experience

6 yrs 5 mos

Total Experience

2 yrs 1 mo

Average Tenure

3 yrs 11 mos

Current Experience

Ibm

Graduate Student Researcher | IBM Research

Jan 2022 – May 2022 · 4 mos

Generative AI - Controllable Code Generation (NLP) as part of the CMPSCI 696DS Independent Study course with guidance and mentorship from IBM Research and Dr. Andrew McCallum.
Published at NeurIPS HCAI workshop 2022

NLPGenerative AI

Paramount

2 roles

Software Engineer Intern (Video)

Sep 2021 – May 2022 · 8 mos

Software Engineer Intern (Video)

Jun 2021 – Aug 2021 · 2 mos

Design and implement an efficient, unit-test driven and microservice based RESTFul API service in Go and MySQL for the seamless delivery of ViacomCBS owned contents to the partner SVOD platforms such as Prime Video, Apple TV, Youtube TV, etc.
Leverage the suitable Go design pattern principles, such as abstract factory, to optimize the quality (readable, easy maintenance, etc.) of the code

GoMySQLRESTful APIMicroservice Architecture

Citrix

Software Engineer II (Cloud Native)

Jun 2020 – Dec 2020 · 6 mos · Bengaluru, Karnataka, India

• Strengthened the fault-tolerance and availability of SD-WAN Orchestrator SAAS application by enhancing the cloud-native (kubernetes) adherence of its microservice based API services, such as adding liveness probe REST endpoints.

KubernetesCloud-nativeAPI ServicesCloud-native Deployments

Soroco

2 roles

Software Engineer

Jun 2018 – Jun 2020 · 2 yrs · Bengaluru Area, India

Researched and developed an Opencv-Django application for detecting and reporting discrepancies in printed packages artworks using conventional computer vision techniques (SIFT, SSIM, Contours, etc). With a stellar accuracy of 99%, the work drastically reduced the pipeline turnaround time by 66% in the customers’ factories across the world.
Alleviated a few major problems in the UI automation packages, such as non-standardization and high maintenance cost, by developing a python abstraction framework. Designed with the principles of object-oriented design, the framework not only improves the maintenance and readability of the code base through standardization but also accelerates development through simplification. Hence, it is now a core component of the Soroco Automation Suite.
Developed a pandas tool for qualitative health analysis of a user activity capture software. The tool boosted the confidence in onboarding new customers onto the platform by reporting abnormal apps in their environments.

Computer VisionPythonDjango

Software Engineer Intern

Jan 2018 – May 2018 · 4 mos · Bengaluru Area, India

Slashed the AHT by 71% and the annual cost by$325K through developing a message-queue based distributed system in python for automating complex business process workflows in a Fortune 200 Insurance company.
Facilitated the integration of the Elastic Stack to Soroco Automation Suite by developing a Python library to unify the logs across its components.

PythonElastic Stack