sid0nair@research— incoming MS Privacy Eng. @ CMU
~/ cv

Curriculum Vitae

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Summary

B.Tech in Mechanical Engineering with a Computer Science minor at IIT Delhi, specializing in privacy-preserving machine learning and federated optimization. Research in differential privacy, federated learning and secure AI systems across IIT Delhi, IIT Hyderabad and ISI Kolkata, with work under review at IEEE T-PAMI and TMLR. Core expertise in second-order federated optimization with DP guarantees, privacy-accounting mechanisms, and privacy-preserving system deployment. Incoming MS in Privacy Engineering at Carnegie Mellon.

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Education

Carnegie Mellon University MS in Privacy Engineering · School of Computer Science
2026 — incoming
Indian Institute of Technology Delhi B.Tech in Mechanical Engineering + CS Minor · CGPA 7.92 / 10.0
Oct 2022 — 2026
Modern Vidya Niketan, Faridabad Class XII — CBSE · 96.8%
Mar 2022
Modern Vidya Niketan, Faridabad Class X — CBSE · 97.2%
Mar 2020
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Scholastic Achievements

03

Publications & Patents

detailed →
under review

Accelerated Training of Federated Learning via Second-Order MethodsIEEE T-PAMI · Apr 2025

arXiv:2505.23588
target TMLR '26

DP-FedSOFIM: DP Federated Stochastic Optimization using Regularized FIMTMLR · Jan 2026

arXiv:2601.09166
under review

FedDAF: Federated Domain Adaptation using Model Functional DistanceIEEE/CVF WACV · Aug 2025

arXiv:2509.11819
published

Towards Support-Free Printing in Extrusion-Based Additive ManufacturingASME IMECE 2025 · Mar 2025

IMECE-160285
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Research Experience

Differentially Private 2nd-Order Optimization in FL — ISI Kolkata
Jun 2025 — Present
Prof. Tanmay Sen · Statistical Quality Control & OR Unit
  • Designing 2nd-order FL optimizers with momentum-corrected Newton steps for faster convergence.
  • Implementing a federated privacy accountant with Rényi DP and subsampling amplification, ensuring (ε, δ)-DP.
  • Building a dimension-aware gradient-clipping framework for ResNet, stabilizing updates under noisy Hessians.
  • Achieved 8× noise reduction via subsampling — 70% accuracy, outperforming first-order baselines.
Accelerated Training of FL via 2nd-Order Methods — Indian Institute of Technology (IIT), Hyderabad
Oct 2024 — Apr 2025
Prof. C. Mohan · Dept. of CSE
  • Benchmarked convergence of Newton-CG, L-BFGS and quasi-Newton methods on heterogeneous federated clients.
  • Implemented Hessian-free and low-rank approximation schemes, reducing communication overhead by 40%+.
  • Tested diagonal and Nyström-based second-order updates for scalability in large-scale distributed optimization.
  • Developed preconditioning strategies for distributed second-order optimization with non-IID data heterogeneity.
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Work Experience

Healthcare Design & Innovation Intern — Philips India Ltd
May 2025 — Jul 2025
Dr. Amar Banerjee · R&I Management, HIC Pune
  • Built an AI-driven CAD pipeline converting natural-language prompts to structured JSON for parametric modeling.
  • Integrated SQL-backed ChromaDB retrieval with the Fusion API to align JSON parameters for precise code mapping.
  • Deployed Qwen 2.5 Coder (7B) on Ollama, translating JSON into Autodesk Python APIs for automated CAD tasks.
  • Validated the CAD–SQL workflow across tasks, cutting manual drafting by 60% and boosting iteration speed.
SSUP Research Intern — SONY Corp.
Apr 2024 — Oct 2024
Prof. Sagar Sarkar & Prof. Amber Srivastava · Mech. Eng., IIT Delhi
  • Designed a native slicing & G-code framework in Blender for India's first 5-axis FDM 3D printer.
  • Integrated Python APIs (PyDy, BlendPy) with Rhino3D workflows for precise multi-axis toolpath planning.
  • Optimized slicing routines to minimize redundant tool movements, improving deposition efficiency & accuracy.
  • Implemented CNN and ViT based anomaly detection for extrusion, enabling adaptive feedback & early fault alerts.
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Technical Skills

Programming
PythonC / C++SQLMATLAB
AI / ML
VAE-GANRényi DPBiLSTML-BFGSNewton-CGDiffusion (Wavelet, DreamFusion)
Neuroimaging
fMRIBOLDGLMFSL / SPM
Tools
PyTorchTensorFlow PrivacyOpacusChromaDBLangChainOllamaGitCuPyXGBoost
CAD / Sim
Fusion 360AnsysBlenderRhino3D
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Positions of Responsibility

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References

Prof. Rahul Garg
Professor, Dept. of Computer Science & Engineering, IIT Delhi
Prof. Chalavadi Krishna Mohan
Professor, Dept. of Computer Science & Engineering, IIT Hyderabad
Prof. Tanmay Sen
Assistant Professor, SQC & OR Unit, ISI Kolkata
Prof. Sagar Sarkar
Assistant Professor, Dept. of Mechanical Engineering, IIT Delhi