Available to hire
Hi, I’m Annu Singh, a data scientist with 5 years of experience in AI/ML, image analysis, deep learning, and bioinformatics. I enjoy turning complex data into practical insights and building scalable ML systems across research and production.
Currently, I work at UBS in Zurich on a contract basis, where I’ve built multilingual capabilities for the UBS Virtual Assistant, extended orchestration logic with C# and GPT-4 on Azure, and automated deployment pipelines. I’m passionate about delivering end-to-end AI solutions, exploring agent-based frameworks, and sharing knowledge through mentoring and hands-on training.
Skills
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Work Experience
Data Scientist at UBS (Contract Based)
August 1, 2023 - October 31, 2025Implemented and validated the multi-language switch feature for the UBS Virtual Assistant, enabling seamless language transitions within active chat sessions. Modified and extended the UBS Virtual Assistant Orchestrator (C#) to support new skill activation logic and improved coordination with multiple Python-based AI skills hosted on Azure. Designed and deployed a new AI skill leveraging GPT-4 on Azure, with JSON-based flow definitions for named entity recognition and contextual hand-off to the orchestrator. Automated deployment and configuration using Ansible and REX scripts, integrated into Azure-hosted infrastructure and GitLab CI/CD pipelines for reliable releases. Gained hands-on experience with Azure Cosmos DB for data persistence and resource management, and explored agentic frameworks (LangSmith and Agent-to-Agent) to extend orchestration capabilities and modularity of AI-driven conversational systems.
Senior Scientific Specialist I (Data Scientist) at Excelra
March 1, 2025 - March 1, 2025Led end-to-end ML pipelines in digital pathology and bioinformatics, including data wrangling, exploratory analysis, model development, and deployment. Trained U-Net on H&E-stained image datasets for nucleus segmentation, evaluating with Dice, Jaccard, and related metrics; achieved robust segmentation performance. Implemented retinal image classification enhancements and utilized transfer-learning-based approaches (ResNet/variants). Performed brain segmentation tasks on LGG Brain Scan data using U-Net architectures. Developed marketing materials on AI/ML approaches for tumor detection and cellular phenotyping to enhance field visibility. Configured a PostgreSQL Docker container to host a relational database, restored data from a .dmp file (~12 GB), and extracted assay data via SQL. Conducted comprehensive data cleaning and preprocessing to ensure high-quality inputs for modeling. Trained deep-learning models achieving notable accuracy improvements.
Mentor (Part-Time) at StarAgile
February 1, 2024 - February 1, 2024Mentored 3 batches of ~30 students each in data science, machine learning, and deep learning. Evaluated ~90 assignments weekly, providing code/installation troubleshooting support and guidance.
Solution Engineer at NVIDIA (Proficio)
April 1, 2023 - April 1, 2023Delivered NVIDIA DLI 'Fundamentals of Deep Learning' training to over 350 undergraduate students, covering image classification, CNNs, transfer learning, and PyTorch-based implementations. Designed and facilitated technical enablement programs for ISVs and startup partners focusing on solution positioning, applied deep learning, and cloud inference using NVIDIA's ecosystem. Completed 9 NVIDIA DLI certifications and supported business development through client liaison, market research, and ecosystem engagement.
Junior Research Fellow at Tata Institute of Fundamental Research
June 30, 2018 - June 30, 2018Analyzed RNA-Seq data using R; contributed to gene expression analyses and computational neuroscience workflows.
Research Intern at The University of Tokyo
July 16, 2016 - July 16, 2016Conducted genome and RNA sequencing data analysis as part of a short-term research internship; contributed to project planning and data interpretation.
LLM Projects (Up-skilling)
May 1, 2025 - October 31, 2025Ongoing work building and continuously enhancing an agent-based FastAPI system with a master API for intent classification (Google Gemini) and dynamic routing to sub-agents, including authentication, logging, and monitoring.
Education
Master of Science in Neuroinformatics and Computational Neuroscience at Newcastle University, UK
September 1, 2018 - December 1, 2019Bachelor of Technology in Biological Sciences and Bioengineering at Indian Institute of Technology Kanpur, India
July 1, 2013 - June 30, 2017Qualifications
NVIDIA Deep Learning Institute Certifications
January 11, 2030 - October 31, 2025Industry Experience
Media & Entertainment, Software & Internet, Healthcare, Life Sciences, Education, Professional Services
Skills
Experience Level
Expert
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Intermediate
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