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Shreyas B.

Software Engineer @ ABB | LLMOps, Data Science, AI Engineering

Bengaluru

5+ years of work experience

ABB
Aug 20242 yrs 2 mosPresent

Hybrid

• Worked on Genix Copilot, an agentic LLM system, where I developed and managed core modules including Text-to-MongoDB query generation, Document QA, Agent orchestration Flow, and evaluation pipelines. • Implemented advanced retrieval + re-ranking strategies for RAG, improving retrieval quality and increasing groundedness by 27% and completion accuracy by 40% on test dataset. • Managed containerized deployments on Azure Kubernetes Service using Azure DevOps CI/CD for continuous delivery across different environments • Built end-to-end Agent Observability using Langfuse and custom telemetry to monitor agent performance, track key metrics, and drive continuous optimization. • Developed an MCP server layer over existing backend services, enabling standardized integration between enterprise capabilities and the agent. • Official product article: https://new.abb.com/news/detail/124533/abb simplifies-industrial-device-maintenance-with-generative-ai
ABB
Jan 20248 mosAug 2024

On-site

• Built a full-stack ML sensitivity analysis platform using Angular, TypeScript, Reactive Forms, and RxJS for dataset uploads, scenario configuration, and real-time metric visualization. • Developed asynchronous FastAPI services with multiprocessing for parallel inference across perturbed datasets, reducing experiment setup time by 50%. • Automated model robustness evaluation and before/after performance comparisons, reducing manual validation effort by 60%. • Containerized and deployed the platform on AKS using Docker, Helm, ingress controllers, and horizontal pod autoscaling for scalable inference workloads.
Exponentia.ai
Jun 20234 mosSep 2023

Mumbai, Maharashtra, India

• Created an innovative application that utilizes open-source Large Language Models to produce concise document summaries. • Designed an chat-bot powered by an open-source Large Language Models, enabling seamless interaction with unstructured data for precise information retrieval from a database, tailored to user queries.
ESG Data & Solutions
Dec 20224 mosMar 2023

Remote

• Developed data preprocessing pipelines to ensure data integrity, normalization, and readiness for analytical workflows. • Utilized Power BI to design and deploy interactive dashboards and visualizations, enabling dynamic exploration of financial datasets and enhancing stakeholder decision-making processes. • Applied additional Python packages such as Matplotlib, Seaborn, and Plotly to generate detailed visual analytics and uncover underlying trends in ESG financial data.
Project MANAS
May 20212 yrs 1 moMay 2023

Manipal

• Developed a machine-learning model using motor telemetry and flight-path parameters to predict UAV energy consumption, optimize battery selection, and balance aircraft weight against flight endurance. • Successfully executed Static and Dynamic simulations of the UAV using MATLAB and Ansys, alongside conducting on-field testing for real-world validation. • Contributed to end-to-end autonomous UAV development with multi, including sensor-data processing, flight simulation, mission planning, software integration, and mission execution for the AUVSI SUAS 2022 competition. Accomplishments: • Secured 2nd position in Flight Readiness Review, demonstrating the comprehensive development process of the drone. • Attained 10th position in the Technical Design paper and an overall ranking of 18th out of 71 teams from various countries in a global competition. • Achieved an overall ranking of 18th in the AUVSI SUAS International autonomous drone competition. Competition Ranking: https://docs.google.com/spreadsheets/d/e/2PACX-1vSV0_wulZ_djNrAeuGUOWQXyDoUyD6lgD5H7W9tqT8LZu__uv6s0OiEsDP0lbRetUTWTqQ9S1RAdvAr/pubhtml (year 2022)
GitHub
@Shreyas-gits

Shreyas’s AI Stack

langchain
langchain
langfuse
langfuse
langgraph
langgraph
langsmith
langsmith
mcp
mcp
openai
openai

Education

Manipal institute of technology

Bachelor of Technology - BTech, Data Science

Manipal institute of technology

20204 yrs2024
Bombay Cambridge International School, Andheri East

Bombay Cambridge International School, Andheri East

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Headline

Software Engineer @ ABB | LLMOps, Data Science, AI Engineering

About

As a Software Engineer at ABB, I contribute to the development of Agentic LLM application like ABB Genix Copilot. Leveraging expertise in LLMOps, I design, deploy, and optimize agentic applications, utilizing tools like Langfuse, Langgraph, Azure Kubernetes Service, and Azure DevOps for scalable and reliable cloud-native deployment. Projects I contributed to (ABB Genix Copilot) https://new.abb.com/process-automation/genix/abb-genix-copilot https://news.microsoft.com/source/emea/2026/04/abb-enhances-ai-capabilities-of-flagship-industrial-device-digital-solutions/

Location

Bengaluru

AI stack

langchain

langfuse

langgraph

langsmith

mcp

openai

Work experience

Software Engineer at ABB, Aug 2024 - Present · 2 yrs 2 mos, Hybrid, • Worked on Genix Copilot, an agentic LLM system, where I developed and managed core modules including Text-to-MongoDB query generation, Document QA, Agent orchestration Flow, and evaluation pipelines. • Implemented advanced retrieval + re-ranking strategies for RAG, improving retrieval quality and increasing groundedness by 27% and completion accuracy by 40% on test dataset. • Managed containerized deployments on Azure Kubernetes Service using Azure DevOps CI/CD for continuous delivery across different environments • Built end-to-end Agent Observability using Langfuse and custom telemetry to monitor agent performance, track key metrics, and drive continuous optimization. • Developed an MCP server layer over existing backend services, enabling standardized integration between enterprise capabilities and the agent. • Official product article: https://new.abb.com/news/detail/124533/abb simplifies-industrial-device-maintenance-with-generative-ai

Software Engineer Intern (Full Stack), ABB at ABB, Jan 2024 - Aug 2024 · 8 mos, On-site, • Built a full-stack ML sensitivity analysis platform using Angular, TypeScript, Reactive Forms, and RxJS for dataset uploads, scenario configuration, and real-time metric visualization. • Developed asynchronous FastAPI services with multiprocessing for parallel inference across perturbed datasets, reducing experiment setup time by 50%. • Automated model robustness evaluation and before/after performance comparisons, reducing manual validation effort by 60%. • Containerized and deployed the platform on AKS using Docker, Helm, ingress controllers, and horizontal pod autoscaling for scalable inference workloads.

Data Science Intern at Exponentia.ai, Jun 2023 - Sep 2023 · 4 mos, Mumbai, Maharashtra, India, • Created an innovative application that utilizes open-source Large Language Models to produce concise document summaries. • Designed an chat-bot powered by an open-source Large Language Models, enabling seamless interaction with unstructured data for precise information retrieval from a database, tailored to user queries.

Data Engineer at ESG Data & Solutions, Dec 2022 - Mar 2023 · 4 mos, Remote, • Developed data preprocessing pipelines to ensure data integrity, normalization, and readiness for analytical workflows. • Utilized Power BI to design and deploy interactive dashboards and visualizations, enabling dynamic exploration of financial datasets and enhancing stakeholder decision-making processes. • Applied additional Python packages such as Matplotlib, Seaborn, and Plotly to generate detailed visual analytics and uncover underlying trends in ESG financial data.

Senior Member at Project MANAS, May 2021 - May 2023 · 2 yrs 1 mo, Manipal, • Developed a machine-learning model using motor telemetry and flight-path parameters to predict UAV energy consumption, optimize battery selection, and balance aircraft weight against flight endurance. • Successfully executed Static and Dynamic simulations of the UAV using MATLAB and Ansys, alongside conducting on-field testing for real-world validation. • Contributed to end-to-end autonomous UAV development with multi, including sensor-data processing, flight simulation, mission planning, software integration, and mission execution for the AUVSI SUAS 2022 competition. Accomplishments: • Secured 2nd position in Flight Readiness Review, demonstrating the comprehensive development process of the drone. • Attained 10th position in the Technical Design paper and an overall ranking of 18th out of 71 teams from various countries in a global competition. • Achieved an overall ranking of 18th in the AUVSI SUAS International autonomous drone competition. Competition Ranking: https://docs.google.com/spreadsheets/d/e/2PACX-1vSV0_wulZ_djNrAeuGUOWQXyDoUyD6lgD5H7W9tqT8LZu__uv6s0OiEsDP0lbRetUTWTqQ9S1RAdvAr/pubhtml (year 2022)

Education

Bachelor of Technology - BTech, Data Science, Manipal institute of technology

Bombay Cambridge International School, Andheri East

Public links

github: https://github.com/Shreyas-gits

Shreyas B. - Software Engineer in Bengaluru | Tal