Surya Prakash Sahu

Software Engineer

Bengaluru, Karnataka, India4 yrs 8 mos experience

Key Highlights

Expert in Machine Learning and Natural Language Processing.
Led development of LLM-powered systems at Google.
Proven track record in product innovation and R&D.

Stackforce AI infers this person is a Machine Learning Engineer specializing in SaaS and AI-driven solutions.

Contact

Skills

Core Skills

Machine LearningNatural Language Processing

Other Skills

Amazon Web Services (AWS)Android DevelopmentAndroid StudioApache SparkC++Data AnalysisEclipseEvent PlanningGitGoogle Cloud Platform (GCP)JavaJupyterKubernetesLaTeXLarge Language Models (LLM)

About

Machine Learning Engineer with a solid grasp of Statistics, Machine Learning, Deep Learning, and Generative AI techniques. I am passionate about leveraging cutting-edge technologies to drive product innovation. Currently at Google, I work at the intersection of Software Engineering and AI, building LLM-powered systems for large-scale code analysis and automated code reviews.

Experience

Google

Software Engineer

Apr 2025 – Present · 11 mos · Bengaluru, Karnataka, India

Observe.ai

Machine Learning Engineer

Jul 2023 – Apr 2025 · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

Leading end-to-end development, testing, deployment, monitoring, integration and cost optimization efforts for two critical ML services.
Carrying out RnD exercises - including benchmarking of new LLMs, curating data for annotation, and
exploring methodologies through literature review - to ensure continuous product innovation.

Large Language Models (LLM)Amazon Web Services (AWS)Natural Language ProcessingPythonReinforcement LearningMachine Learning

Microsoft

Research Intern

Jul 2022 – Jun 2023 · 11 mos · Bengaluru, Karnataka, India

Developed LLM-assisted tools for automated code bug fixing and code migration.
Experimented with LLM fine-tuning and prompting techniques to leverage LLMs for code understanding.

Large Language Models (LLM)Natural Language ProcessingPythonMachine Learning

Lending katalyst

Technical Advisor

Jan 2022 – May 2023 · 1 yr 4 mos · Bengaluru, Karnataka, India

* Assisted the team with setting up the ML stacks required for automated property title search.

Neuropixel.ai

Research Intern

Sep 2021 – Jun 2022 · 9 mos · Bengaluru, Karnataka, India · Remote

Worked on initial stage experiments and PoCs of the product.
Curated an apparel dataset of 11K data points and benchmarked the dataset for image generation with
StyleGAN2-ADA.

Cognizant

Project Associate

Oct 2018 – Sep 2020 · 1 yr 11 mos · Greater Bengaluru Area · On-site

(March, 2019- Sept, 2020) Automation Center : I worked as an individual contributor in team of Automation Center - an in-house product of Cognizant. My job was to develop and test new usecases for automation, with the application of Machine Learning wherever necessary.
(Oct, 2018-March, 2019) Introductory project : An information management system for a client in logistics domain. My contributions mainly involved implementations in Java, and corresponding testing.
It made me realize the importance of testing and support in real-life applications.

Geeksforgeeks

Campus Ambassador

Aug 2017 – Apr 2018 · 8 mos · NIT, Rourkela

* Organized sessions to educate students about the usability of GeeksforGeeks platform

Fibe.india (formerly earlysalary)

Data Analytics Intern

May 2017 – Jul 2017 · 2 mos · Pune/Pimpri-Chinchwad Area

Developed Clustering models to help underwriters to gain deeper insights into customer behavior. These models improved performance of EarlySalary.com’s Risk Assessment framework by 1.9%.
Developed AWS Lex based chatbot to automate customer query addressing
Presented various proof of concept on available text data