Abhishek Kumawat

Software Engineer

Zurich, Zurich, Switzerland11 yrs 6 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in Generative AI and LLM optimization.
  • Led successful projects at Meta and Google.
  • Strong background in multi-agent systems and computer vision.
Stackforce AI infers this person is a highly skilled Software Engineer specializing in AI, NLP, and Computer Vision.

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Skills

Core Skills

Generative AiLarge Language Models (llm)Ai AgentsMulti-agent SystemsComputer VisionNatural Language Processing (nlp)Azure DevopsJava

Other Skills

.NET.NET FrameworkADFAJAXAndroid DevelopmentAngularJSBenchmarkingCC#C++CalibrationCalibration SystemsCluster AnalysisData PipelinesDatabase Administration

About

Software Engineer at Meta Superintelligence Labs, specializing in Generative AI, LLMs, and multi-agent systems. Currently developing post-training optimization for Llama 4 and building advanced AI agent infrastructure. With experience across Meta, Google, Microsoft, and Oracle, I've led initiatives ranging from Quest VR calibration systems to Google Assistant's recommendation infrastructure. My work focuses on bridging cutting-edge AI research with scalable production systems.

Experience

Meta

2 roles

Software Engineer - Generative AI

Promoted

Aug 2024Present · 1 yr 7 mos · Zurich, Switzerland

  • Developed and optimized post-training recipes for the Llama 4 family of models, enhancing model performance and alignment through advanced fine-tuning techniques
  • Spearheaded implementation of comprehensive benchmarking suite including GAIA2 and scalable evaluation pipelines, establishing robust frameworks for agent capabilities assessment and creating reproducible recipes for systematic performance measurement
  • Architected and built multi-agent research infrastructure with complex simulated environments, enabling sophisticated agent interactions, automated annotations, and novel benchmarking methodology development
  • Engineered end-to-end data pipelines supporting pre-training, reinforcement learning, and agent infrastructure, ensuring efficient data flow and processing at scale
  • Pioneered development of specialized AI agents including deep-research, code generation, and strategic planning agents, advancing autonomous reasoning and task execution capabilities
Generative AILarge Language Models (LLM)AI AgentsData Pipelines

Software Engineer, Computer Vision

Apr 2022Jul 2024 · 2 yrs 3 mos · Zurich, Switzerland

  • Designed and implemented end-to-end camera, LED, and IMU calibration solutions for Meta's Quest products, driving improvements in measurement accuracy and device reliability
  • Led cross-functional teams in creating scalable calibration frameworks for multiple headset and controller models, significantly reducing reprojection error and advancing key performance indicators
  • Owned and developed robust infrastructure for both factory and online calibration, enhancing quality assurance processes and enabling continuous post-shipment performance monitoring
Computer VisionCalibration SystemsQuality Assurance

Google

Software Engineer - NLP & Machine Learning

Jun 2019Apr 2022 · 2 yrs 10 mos · Zürich Area, Switzerland

  • Developed and implemented recommendation infrastructure for Google Assistant, enhancing user interaction and engagement
  • Led the design and implementation of sandboxing architecture for Google Assistant, strengthening system security and reliability across speech recognition, hotword detection, NLP understanding, fulfillment, and execution features
  • Engineered comprehensive frontend testing infrastructure for YouTube Ads, enabling end-to-end testing across desktop and mobile platforms without impacting live systems or data analytics
Natural Language Processing (NLP)Machine LearningRecommendation Systems

Microsoft india

Software Engineer, Azure DevOps

May 2016May 2019 · 3 yrs · Hyderabad Area, India

  • Enhanced Azure Pipelines by implementing distributed and parallel testing capabilities, improving scalability and integrating with Azure Kubernetes Services (AKS) for consistent container-based deployment
  • Advanced the Microsoft test platform by adding diagnostic features, upgrading the MSTest adapter for cross-platform .NET Core testing, and enhancing UI test capabilities for UWP applications
Azure DevOpsDistributed SystemsTesting

Oracle india pvt. ltd

Applications Developer

Jun 2014Apr 2016 · 1 yr 10 mos · Bangalore

  • Led the development of Oracle RightNow CRM web application using Java ADF framework, optimizing architecture through improved caching, ORM, session, transaction, and scope management
  • Enhanced application performance and high availability by resolving session replication, serialization issues, memory leaks, and concurrency challenges
JavaWeb ApplicationsPerformance Optimization

Education

Indian Institute of Technology, Bombay

Bachelor of Technology (B.Tech.) — Civil Engineering

Jan 2010Jan 2014

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