I am a machine learning engineer with nearly 3 years of industry experience and a Master’s in AI Systems from NUS. I focus on the full ML lifecycle — model design, training, evaluation, deployment, monitoring, and iteration — and I’m hands-on with PyTorch, Scikit-learn, and Keras for supervised, deep, and reinforcement learning. I have shipped production-grade systems on AWS with CI/CD, observability, and security scanning. I’m comfortable optimizing algorithms for both accuracy and efficiency, integrating ML into existing systems, and documenting workflows. I have an active interest in forex, crypto, and decentralized finance, and I’m keen to apply ML in financial services domains.

Pranjali Sonawane

I am a machine learning engineer with nearly 3 years of industry experience and a Master’s in AI Systems from NUS. I focus on the full ML lifecycle — model design, training, evaluation, deployment, monitoring, and iteration — and I’m hands-on with PyTorch, Scikit-learn, and Keras for supervised, deep, and reinforcement learning. I have shipped production-grade systems on AWS with CI/CD, observability, and security scanning. I’m comfortable optimizing algorithms for both accuracy and efficiency, integrating ML into existing systems, and documenting workflows. I have an active interest in forex, crypto, and decentralized finance, and I’m keen to apply ML in financial services domains.

Available to hire

I am a machine learning engineer with nearly 3 years of industry experience and a Master’s in AI Systems from NUS. I focus on the full ML lifecycle — model design, training, evaluation, deployment, monitoring, and iteration — and I’m hands-on with PyTorch, Scikit-learn, and Keras for supervised, deep, and reinforcement learning. I have shipped production-grade systems on AWS with CI/CD, observability, and security scanning.

I’m comfortable optimizing algorithms for both accuracy and efficiency, integrating ML into existing systems, and documenting workflows. I have an active interest in forex, crypto, and decentralized finance, and I’m keen to apply ML in financial services domains.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Work Experience

GenAI Engineer Intern at ST Engineering
March 1, 2026 - Present
Deploying a self-contained AI coding agent for on-premise inference on NVIDIA DGX hardware — owning the full deployment path from model serving (vLLM, OpenAI-compatible endpoints) through GPU diagnostics, process management, and configuration of locally hosted endpoints. Optimised inference for low-latency, data-sovereign use in air-gapped settings; instrumented monitoring hooks to evaluate deployed model performance and trigger adjustments. EDB Grant System Automation: Designed and built a multi-agent ML/LLM system to automate grant application intake, eligibility assessment, and documentation processing; owned end-to-end system design including architecture documentation, scalable folder structure, and safe tool-integration patterns. Implemented input/output guardrails, observability, and human-in-the-loop handoff to maintain model reliability and compliance — directly transferable to regulated financial-services workflows.
Campus Ambassador at Agora
February 1, 2026 - Present
Represent Agora’s real-time engagement platform on campus; organise workshops on conversational AI, voice agents, and real-time multimodal ML applications.
Application Development Analyst at Accenture
September 1, 2022 - August 1, 2025
Led a team of 5 engineers on a document-intelligence pipeline that lifts OCR accuracy across 100+ client invoices; designed and integrated APIs and backend services; evaluated and adopted new tooling, driving a 15% improvement in solution accuracy and 30% reduction in development and release timelines. Performed unit, integration, and end-to-end testing with Jest to ensure correctness and reliability; authored design and process documentation for technical and non-technical audiences. Translated ambiguous business requirements into technical solutions across cross-functional teams.

Education

Master of Technology in AI Systems at National University of Singapore (NUS)
August 1, 2025 - September 1, 2026
B.Tech. in Automotive Design Engineering at UPES
August 1, 2018 - August 1, 2022

Qualifications

NUS Graduate Certificates in Architecting AI
January 11, 2030 - June 30, 2026
NUS Graduate Certificates in Pattern Recognition Systems
January 11, 2030 - June 30, 2026
NUS Graduate Certificates in Intelligent Reasoning Systems
January 11, 2030 - June 30, 2026
Microsoft AZ-900 Azure Fundamentals
January 11, 2030 - June 30, 2026
Green Software Practitioners
January 11, 2030 - June 30, 2026
Android Application Development
January 11, 2030 - June 30, 2026
DeepLearning.AI Fast & Efficient LLM Inference with vLLM
January 11, 2030 - June 30, 2026

Industry Experience

Financial Services, Professional Services, Software & Internet, Education