Work
A sectioned overview of engineering practice, platform foundations, leadership, governance, experience, education, skills, and public projects.
Applied AI & ML Systems
Work on applied AI and machine learning systems in a regulated technology environment, with focus on model workflows, evaluation practices, data infrastructure, and security-aware engineering. Day-to-day practice covers model design, experiment tracking, evaluation, and reproducible pipelines, alongside the operational concerns that production AI requires.
Cloud Foundry & Multi-Cloud Platforms
Built a strong foundation in enterprise platform engineering at Atos, working across Cloud Foundry, hybrid cloud environments, AWS, GCP, VMware Cloud, OpenStack, Kubernetes, Docker, performance testing, security validation, and platform reliability. This included PaaS product delivery, performance characterisation, security validation of platform components, incident handling, and the long, careful work of keeping multi-tenant cloud platforms reliable for enterprise customers.
Program & Technical Leadership
Led and coordinated technical work across engineering, product, security, and research contexts, including roadmap planning, technical reviews, cross-functional execution, documentation, and grant-supported applied AI work. The emphasis is on clear scoping, well-structured reviews, and steady delivery rather than on specifics of any single programme.
Cybersecurity Governance
Supports security governance and compliance initiatives across SOC 2, NIST 800-53, ISO-aligned controls, risk management, vendor review, and operational security practices. Activities span control documentation, evidence collection, vendor assessments, and ongoing operational hygiene.
Experience
A timeline of roles across enterprise platform engineering, teaching, and applied machine learning.
Machine Learning Engineer · RaySecur Inc.
2023 – PresentApplied machine learning work on computer vision and imaging systems within a regulated security context, alongside cybersecurity governance across SOC 2, NIST 800-53, and ISO-aligned controls.
Machine Learning Intern · RaySecur Inc.
2022 – 2023Computer vision models for terahertz imaging applications, with contributions to synthetic data generation research.
Teaching Assistant · Northeastern University
2021 – 2023Graduate-course teaching assistance supporting students through AI and machine learning coursework.
Associate Consultant · Atos
2019 – 2020Client engagement, enterprise delivery, and cross-functional platform consulting.
Cloud Foundry Engineer · Atos
2018 – 2019Hybrid cloud platform deployments across AWS, GCP, VMware Cloud, and OpenStack, with security validation and performance testing for PaaS products.
Software Engineer (Trainee → Engineer) · Atos
2015 – 2018Manual, performance, and security testing of enterprise PaaS products, with bug reporting, software development, and quality assurance.
Education
Graduate and undergraduate study in information systems, AI, and computer engineering.
MS in Information Systems · Northeastern University
2021 – 2023Focus on AI and machine learning, with applied research in medical imaging and distributed systems.
PGP in AI & Machine Learning · Great Learning
2019 – 2020Post-graduate programme in applied machine learning, completed alongside work at Atos.
BE in Computer Engineering · University of Mumbai
2011 – 2015Undergraduate degree in computer engineering and software systems.
Skills
Working tools and areas of practice grouped by domain.
Research & AI
- PyTorch
- TensorFlow
- OpenCV
- Scikit-Learn
- Deep Learning
- Computer Vision
- Federated Learning
- Synthetic Data
- Explainable AI
- Medical Imaging
- Bias Mitigation
Software Engineering
- Python
- Java
- C++
- SQL
- Git
- REST APIs
- CI/CD
- Testing & QA
Cloud & Infrastructure
- AWS
- GCP
- VMware Cloud
- Cloud Foundry
- Kubernetes
- Docker
- OpenStack
Security & Compliance
- SOC 2
- NIST 800-53
- ISO 27001
- Security Automation
- Risk Assessment
- Vendor Review
Certifications
Selected, dated programmes completed alongside formal study.
- August 2019
Secure & Private AI Challenge Scholarship
Udacity / Facebook
- September 2018
Machine Learning Foundation Nanodegree
Udacity
- May 2022
Winning with Walmart Bootcamp
Walmart
Public Projects
Public, open-source projects on GitHub spanning federated learning, medical image analysis, NLP, and applied machine learning experiments. See the GitHub profile for the full list.
Privacy-Preserving Machine Learning
Federated learning and differential privacy experiments on edge hardware.
Medical Imaging & Computer Vision
Convolutional and segmentation models on clinical and public-health image data.
NLP & Applied ML
Text classification and supervised / unsupervised learning experiments.
Current Explorations
Ongoing reading and tinkering on evaluation methodology for applied ML, retrieval-augmented systems, and the engineering practices that make small teams effective.