Rajarshi Ghoshal

Machine Learning Engineer

Bengaluru, Karnataka, India6 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable AI systems for real-world applications.
Proven track record in deploying models on cloud platforms.
Strong background in machine learning and data science.

Stackforce AI infers this person is a Machine Learning Engineer specializing in AI and cloud infrastructure.

Contact

Skills

Core Skills

Machine LearningMicrosoft AzureNatural Language Processing (nlp)Large Language Models (llm)Data Science

Other Skills

AWS SageMakerAlgorithmsAmazon Web Services (AWS)Applied SciencesArtificial Intelligence (AI)C++Computer VisionContinuous Integration and Continuous Delivery (CI/CD)Data StructuresDeep LearningDeep Neural Networks (DNN)Exploratory Data AnalysisFlaskGitHigh Performance Computing (HPC)

About

As a Machine Learning Engineer, my passion lies where theoretical research meets real-world application. I'm driven by the challenge of taking a novel concept: like a new evaluation metric or a complex model, and building the robust, scalable systems needed to make it work reliably for millions of users. This approach has defined my career, from architecting a hybrid evaluation framework with IBM Research to my current role ensuring the operational resilience of OpenAI's models on Microsoft Azure. For me, the most exciting part of AI is not just discovering what's possible, but building what's practical and trustworthy.

Experience

6 yrs 10 mos

Total Experience

1 yr

Average Tenure

6 mos

Current Experience

Real broker

Senior Machine Learning Engineer

Nov 2025 – Present · 6 mos · India · Remote

Design intelligence lab

Graduate Student Researcher

Jan 2025 – Aug 2025 · 7 mos · Atlanta Metropolitan Area · Remote

Conducted power analysis and experimental design using grades, surveys, and social interaction data to validate hypotheses on community formation and learning outcomes.
Designed dynamic matching algorithms for the SAMI platform to optimize peer group formation in online learning environments.
Developing LLM-powered recommendation systems for peer learning enhancement under Prof. Ashok Goel at Georgia Tech's Design & Intelligence Lab (DILab).

Python (Programming Language)Scholarly ResearchNatural Language Processing (NLP)Artificial Intelligence (AI)Large Language Models (LLM)

Microsoft

Senior Machine Learning Engineer

Aug 2024 – Nov 2025 · 1 yr 3 mos · Bengaluru, Karnataka, India · Hybrid

Support the deployment and production integration of OpenAI's foundation models into Azure’s core runtime infrastructure, focusing on model reliability and low-latency serving.
Own and maintain CI/CD pipelines responsible for the deployment and lifecycle management of multiple foundation model families across Azure’s global runtime infrastructure.
Serve as a primary on-call engineer, ensuring high availability and resolving critical failures for productionized OpenAI models at the tokenizer, configuration, and inference layers.

Applied SciencesSoftware DevelopmentHigh Performance Computing (HPC)Machine LearningMicrosoft AzurePython+2

Ibm

Senior Data Scientist

Oct 2023 – Aug 2024 · 10 mos · Bengaluru, Karnataka, India · Hybrid

Collaborated with IBM Research to develop an internal LLM benchmarking framework for evaluating code generation and migration capabilities.
Architected a hybrid evaluation framework for code-generating LLMs, moving beyond simple accuracy to measure true code quality and performance.
This framework featured two novel components: an automated execution engine to benchmark functional correctness, and an LLM-as-a-judge model to assess code readability and reliability.

Applied SciencesSoftware DevelopmentHigh Performance Computing (HPC)PythonData ScienceLarge Language Models (LLM)+2

Novo

Senior Data Scientist

May 2022 – Oct 2023 · 1 yr 5 mos · Bengaluru, Karnataka, India · Hybrid

Developed inaugural underwriting model utilizing data science techniques to identify interested, low-risk customers, generating new revenue streams.
Led the creation of machine learning-based fraud prevention solutions, leveraging big data, ensuring operational efficiency, and mitigating fraud risk.

Machine LearningApplied SciencesPandasArtificial Intelligence (AI)Python (Programming Language)Software Development+18

Definitive healthcare

Machine Learning Engineer

Apr 2021 – Feb 2022 · 10 mos · Bengaluru, Karnataka, India · Remote

Built pricing elasticity models using statistical regression as part of an AutoML pipeline for CPG clients.

Machine LearningApplied SciencesPandasArtificial Intelligence (AI)Python (Programming Language)Software Development+11

Kaamwork

Data Scientist

May 2020 – Jan 2021 · 8 mos · Bengaluru, Karnataka, India · Remote

Developed NLP models to improve the candidate-to-job matching process for an HR tech platform.
Built and deployed an automatic skill extractor from resume text to enhance the accuracy of candidate profiles.

Deep Neural Networks (DNN)Machine LearningApplied SciencesPandasArtificial Intelligence (AI)Python (Programming Language)+15

Tata consultancy services

Machine Learning Engineer

Jan 2019 – May 2020 · 1 yr 4 mos · Greater Bengaluru Area · On-site

Collaborated with TCS Research to build an indoor navigation system leveraging k-Nearest Neighbors (kNN) algorithms.
Applied machine learning techniques to solve internal business problems, including developing regression models for cost forecasting.
Deployed forecasting models as a web service using Flask and PostgreSQL.

Deep Neural Networks (DNN)Machine LearningApplied SciencesPandasArtificial Intelligence (AI)Python (Programming Language)+17