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I am currently pursuing my Master of Science in Data Science and Machine Learning at the National University of Singapore while having completed my Bachelor of Science in Data Science and Analytics with highest distinction. I am passionate about leveraging machine learning and AI frameworks to solve complex problems and have hands-on experience in developing and optimizing models in various sectors including pharmaceutical, healthcare, and renewable energy. My experience spans from research and teaching assistance in AI, where I focus on model development and ethics discussions, to practical engineering roles with multinational companies such as Johnson & Johnson and InterSystems. I enjoy collaborating with cross-disciplinary teams to deliver impactful AI solutions and continuously seek to improve processes through automation, semantic retrieval techniques, and advanced NLP methods.…I am currently pursuing my Master of Science in Data Science and Machine Learning at the National University of Singapore while having completed my Bachelor of Science in Data Science and Analytics with highest distinction. I am passionate about leveraging machine learning and AI frameworks to solve complex problems and have hands-on experience in developing and optimizing models in various sectors including pharmaceutical, healthcare, and renewable energy. My experience spans from research and teaching assistance in AI, where I focus on model development and ethics discussions, to practical engineering roles with multinational companies such as Johnson & Johnson and InterSystems. I enjoy collaborating with cross-disciplinary teams to deliver impactful AI solutions and continuously seek to improve processes through automation, semantic retrieval techniques, and advanced NLP methods.

SNEHA KR

AI Engineer, Data Scientist, Developer, +2

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I am currently pursuing my Master of Science in Data Science and Machine Learning at the National University of Singapore while having completed my Bachelor of Science in Data Science and Analytics with highest distinction. I am passionate about leveraging machine learning and AI frameworks to solve complex problems and have hands-on experience in developing and optimizing models in various sectors including pharmaceutical, healthcare, and renewable energy. My experience spans from research and teaching assistance in AI, where I focus on model development and ethics discussions, to practical engineering roles with multinational companies such as Johnson & Johnson and InterSystems. I enjoy collaborating with cross-disciplinary teams to deliver impactful AI solutions and continuously seek to improve processes through automation, semantic retrieval techniques, and advanced NLP methods.…I am currently pursuing my Master of Science in Data Science and Machine Learning at the National University of Singapore while having completed my Bachelor of Science in Data Science and Analytics with highest distinction. I am passionate about leveraging machine learning and AI frameworks to solve complex problems and have hands-on experience in developing and optimizing models in various sectors including pharmaceutical, healthcare, and renewable energy. My experience spans from research and teaching assistance in AI, where I focus on model development and ethics discussions, to practical engineering roles with multinational companies such as Johnson & Johnson and InterSystems. I enjoy collaborating with cross-disciplinary teams to deliver impactful AI solutions and continuously seek to improve processes through automation, semantic retrieval techniques, and advanced NLP methods.

Available to hire

I am currently pursuing my Master of Science in Data Science and Machine Learning at the National University of Singapore while having completed my Bachelor of Science in Data Science and Analytics with highest distinction. I am passionate about leveraging machine learning and AI frameworks to solve complex problems and have hands-on experience in developing and optimizing models in various sectors including pharmaceutical, healthcare, and renewable energy.

My experience spans from research and teaching assistance in AI, where I focus on model development and ethics discussions, to practical engineering roles with multinational companies such as Johnson & Johnson and InterSystems. I enjoy collaborating with cross-disciplinary teams to deliver impactful AI solutions and continuously seek to improve processes through automation, semantic retrieval techniques, and advanced NLP methods.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Hindi

Advanced

Work Experience

Research/Teaching Assistant (AI) at National University of Singapore

July 1, 2024 - Present

Researched and optimized unsupervised algorithms in PyTorch to improve signal reconstruction quality by 50%, surpassing benchmarks. Collaborated with CNRS@CREATE researchers to debug and integrate codebases, enhancing development and reproducibility. Conducted tutorials for over 300 students on AI ethics, fairness, trust, safety, and practical ML applications in finance, medicine, and environment.

AI Engineer & Business Analyst, Intern at Johnson & Johnson

May 1, 2024 - August 26, 2025

Received JnJ Silver Award. Developed a generative AI tool using LLMs, prompt engineering, and retrieval augmented generation to automate synthesis and Q&A of pharmaceutical data, reducing market research time by 90%. Enhanced semantic retrieval using LLM-driven query expansion to improve document relevance for business cases. Applied NLP techniques on social media disease discourse to support strategic decisions. Communicated technical insights to improve cross-functional stakeholder alignment.

Technical Solutions Engineer, Intern at InterSystems

July 1, 2023 - August 26, 2025

Led development of an analytics dashboard combining geographic and patient data to provide hospital KPIs for real-time decisions. Built ETL pipelines with REST APIs facilitating data interoperability across 100+ hospitals in Indonesia. Facilitated client meetings to assess pain points and co-develop data solutions improving satisfaction and retention.

Data Scientist, Intern at Univers

January 1, 2023 - August 26, 2025

Built deep learning models (VAE, GAN) in TensorFlow to detect anomalies in solar panel devices across 15+ countries. Engineered temporal features from sensor data for ML applications. Analyzed large solar IoT datasets to provide insights and identify edge cases influencing algorithm design for over 1000 solar devices.

Research/Teaching Assistant (AI) at National University of Singapore

July 1, 2024 - Present

Researched and optimized unsupervised algorithms in PyTorch to improve source signal separation quality by 50%, surpassing existing benchmarks. Collaborated with CNRS@CREATE researchers to debug and integrate codebases, accelerating model development and reproducibility. Conducted 12 tutorials for over 300 students, leading discussions on AI ethics, fairness, trust and safety, and guided ML model building for applications in finance, medicine, and environment.

AI Engineer & Business Analyst, Intern at Johnson & Johnson

May 1, 2024 - August 26, 2025

Developed a generative AI tool using LLMs (GPT, Llama), prompt engineering, and retrieval augmented generation to automate synthesis and Q&A of unstructured pharmaceutical data, reducing APAC research time by 90%. Enhanced semantic retrieval via LLM-driven query expansion and multi-vector retrieval for improved document relevance, accelerating decision support. Applied NLP with Python, Databricks, Spark, and AWS to analyze social media discourse for disease insights supporting product-market fit. Communicated findings to cross-functional stakeholders.

Technical Solutions Engineer, Intern at InterSystems

July 1, 2023 - August 26, 2025

Led development of an analytics dashboard integrating geographic data and patient records for hospital KPIs to enable real-time decision-making. Engineered ETL pipelines using Python, SQL, AWS, and REST APIs to support data interoperability across 100+ hospitals in Indonesia. Conducted client meetings to identify pain points and co-develop data solutions, improving product satisfaction and retention.

Data Scientist, Intern at Univers

January 1, 2023 - August 26, 2025

Built deep learning models (VAE, GAN) in TensorFlow to detect anomalies in solar panel devices for over 15 countries. Conducted feature engineering of temporal data from sensor streams preparing datasets for ML pipelines. Analyzed large-scale solar IoT data using Python, SQL, and Hive to extract insights and identify edge cases influencing algorithm design recommendations impacting over 1000 solar devices.