AI Engineer with 1+ years in AI, Data Science & Project Management
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Business analyst and project governance consultant with hands-on experience in gathering, documenting, and validating business requirements. Skilled in developing functional specifications, use cases, and workflow designs, and automating reporting processes to improve operational efficiency. Proven track record of streamlining incident response workflows and translating technical findings into stakeholder-ready documentation. Proficient in Excel, Confluence, Jira, and Zoho Projects.
Vishwakarma Institute of Information Technology Pune
B.Tech · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
RNS Technology Services
Project Governance Consultant
June 1, 2024 – June 1, 2025
Pune, Maharashtra, India
Agentic Enterprise Knowledge Assistant
January 1, 2024 – December 31, 2024
Designed and shipped a multi-agent RAG system using a Planner-Executor architecture; intelligent query routing across specialized agents reduced enterprise information retrieval time significantly. Built product end-to-end: AI architecture, FastAPI interface, vector store, CI/CD pipeline, and AWS (EC2/Lambda/EKS) deployment-mirrors the PM+Engineering overlap in a lean MedTech startup. Surfaced AI answers with confidence indicators to calibrate trust for non-technical users-directly relevant to how diagnostic AI is presented to sonographers. Collaborated with stakeholders to gather and document business requirements, create functional specifications, and model process flows in Confluence and Jira.
Steel Defect Detection
January 1, 2024 – December 31, 2024
Engineered GPU-accelerated ensemble targeting 100% recall on severely class-imbalanced defect data-mirrors the high-stakes false-negative tolerance required in prenatal imaging AI.
Hand-Rx: Handwritten Prescription Digitizer
January 1, 2024 – December 31, 2024
Built a CNN-based OCR pipeline to digitize handwritten medical prescriptions-a healthcare AI application requiring high-precision output with meaningful failure-mode analysis. Implemented full ML pipeline: preprocessing, augmentation, training, validation, and hyperparameter optimization. Partnered with medical experts to define system use cases and acceptance criteria, documented workflows, and tracked development progress in Jira.
AWS Cloud Technology Consultant
Coursera
June 1, 2026 – Present
Google Project Management
Coursera
June 1, 2026 – Present
CCNA
Credly
June 1, 2026 – Present
AWS Solutions Architect Associate
Credly
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects are highly relevant to the AI Engineer role, showcasing a proactive approach to applying AI in practical scenarios, particularly in healthcare. Their professional experience, while more focused on project governance and business analysis, includes Python scripting and data analysis, demonstrating adaptability and a willingness to apply technical skills in different contexts. The breadth of skills listed (Languages, AI/ML, Backend & DevOps, Cloud & Infra, Product/PM, Governance, Business Analysis & Reporting) indicates a versatile individual. However, the professional experience is not directly in an AI engineering role, which might require some ramp-up in a pure engineering environment. The certifications align well with cloud-native AI development.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational and project management skills through their Project Governance Consultant role, including process redesign, incident response, and stakeholder communication. Their ability to automate tasks with Python scripts and manage IAM indicates an operational mindset. Collaboration with stakeholders and medical experts in projects highlights good communication and teamwork. The focus on 'confidence indicators' and 'failure-mode analysis' in AI projects suggests a thoughtful approach to product quality and user trust, which is crucial in high-stakes AI applications.