Siddhant Sharma

Associate Consultant

Oxford, England, United Kingdom0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in machine learning with interdisciplinary applications.
Led multiple research projects with significant impact.
Strong background in algorithm development and data analysis.

Stackforce AI infers this person is a Machine Learning Researcher with a focus on algorithm development and data analysis.

Contact

Skills

Core Skills

Generative AiMachine Learning

Other Skills

Algorithm DevelopmentAssistant TeachingAutodesk InventorC++Competitive ProgrammingData AnalysisData VisualizationDiffusion Models (UNet)DockerFoundation/Transformer Models (ViT, BERT, GPT)GaNGitGraphML (GIN, k-GNN, Spectral Graph)Heuristic Planning (MCTS)High Performance Computing (HPC)

About

I have undertaken various projects in different fields with a common theme of machine learning and am always excited to apply my interdisciplinary knowledge to solve varied analytical problems from the ground up.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

University of oxford

Research Assistant

Feb 2024 – Sep 2024 · 7 mos · Oxfordshire, England, United Kingdom · On-site

Supervised by Prof. Shimon Whiteson, Department of Computer Science, University of Oxford.
Learning how to fine-tune robotics foundation models and maintain generalizability over tasks.

DockerGenerative AI

Indian institute of technology, delhi

2 roles

Junior Researcher, Research Assistant

Promoted

Aug 2022 – Sep 2023 · 1 yr 1 mo · New Delhi, Delhi, India

Supervised by Prof. Rohan Paul, Department of Computer Science, IIT Delhi.
Created a methodology for learning context-aware rules from trivial unsupervised demonstrations for generalisable planning with 65% higher goal reaching rate and 95% lower planning time compared to SOTA (please refer to the ICRA24 paper in the publications section for more details).

Teaching Assistant

Aug 2022 – Dec 2022 · 4 mos · New Delhi, Delhi, India

Course coordinators: Prof. S. Dharmaraja and Prof. Ananta K. Majee, Department of Mathematics, IIT Delhi.
Teaching assistant for course MTL106, Probability and Stochastic Processes.

Universität des saarlandes

Student Researcher, Research Intern

May 2022 – Feb 2023 · 9 mos · Saarbrücken, Saarland, Germany · Hybrid

Supervised by Prof. Jörg Hoffmann, Informatics Department, Saarland University.
Funded by DAAD WISE scholarship and Tuples AI grant.
Learnt action policies represented by neural networks, graph neural networks, and tree ensembles and verified their safety for the first time using a CEGAR approach (please refer to the AAAI23 paper in the publications section for more details).

PyTorch Geometric (PyG)Machine Learning

Indian institute of technology, delhi

4 roles

Research Assistant

Nov 2021 – Dec 2021 · 1 mo · New Delhi, Delhi, India

Supervised by Prof. Srikanta Bedathur, Department of Computer Science, IIT Delhi.
Developed a MIDI-based approach for faster music recognition which achieved a recall of 0.94 and boosted extracted melody’s stability by 10% (please refer to the Clarinet paper in the publications section for more details).

Project Lead, Research Assistant

Promoted

Jul 2021 – Mar 2023 · 1 yr 8 mos · New Delhi, Delhi, India

Supervised by Prof. Jayadeva, Head of the Department of Electrical Engineering, IIT Delhi.
Led a project funded by the National Highways Association of India (NHAI), collaborated on a publication with UltraTech Cement Ltd, and undertook other projects funded by 3 research grants by IIT Delhi.
High-level descriptions of the 5 projects are given in the relevant section.

Research Assistant

Jun 2021 – Aug 2021 · 2 mos · New Delhi, Delhi, India

Supervised by Prof. Sandeep Kumar, School of Artificial Intelligence, IIT Delhi.
Developed an algorithm to cluster data using Robust and Sparse Eigenvectors from the learnt graph Laplacian which performed better than scikit-learn’s SpectralClustering method on a variety of noisy datasets with outliers.

PyTorch Geometric (PyG)Machine Learning

Research Assistant

Dec 2020 – Jul 2021 · 7 mos · New Delhi, Delhi, India

Supervised by Prof. Keerti Choudhary, Department of Computer Science, IIT Delhi.
Created an oracle of linear space and O(1) query time to report the min-cut set of a 2-Fault Tolerant (FT) Graph. Developed structures such as sub-mincut and sub-strip for reporting min-cut values of 3/4-FT Graphs.