Apr 2025 – Present · 1 yr 1 mo · Bengaluru, Karnataka, India · On-site

• Founded: Functor (aifunctor.com), HyperSym (https://www.getsimworks.com)
• Accelerating Genesis AI Labs: https://www.genesisai.in/

Dec 2024 – Apr 2025 · 4 mos · San Francisco Bay Area · Remote

Nov 2024 – Present · 1 yr 6 mos · Remote

• Working in multiple-multimodal agentic systems.
• Geometric Deep Learning (Foundation models in Higher order structures)
• Context-Switching in LLMs
• Multi-Agent RL (World Model Training) Environments
• LLM industrial use-cases (Hyper-Personalization, KG-RAGs)
• Vision (Diffusion Models)

Jul 2024 – Jan 2025 · 6 mos · Gurugram · On-site

• Developed TabGraphTransformer architecture integrating GNN-processed user features with tabular transformers,
• achieving 72.4% precision in RTO prediction and delivering 3% cost reduction in order transactions.
• Engineered a Temporal Multi-modal Graph Recommendation System achieving 95.37% precision and 9.2%
• improvement in NDCG compared to existing two-tower and session-based recommendations.
• Implemented custom evaluation metrics for RTO predictions, enhancing model interpretability beyond F1 scores.
• Technologies: Neo4j, Apache Giraph, PyTorch Geometric, AWS SageMaker, DyGLib

Jan 2023 – May 2023 · 4 mos · Delhi, India · On-site

• Conducted extensive research on learning representations over product manifolds and higher-dimensional
• Riemannian manifolds, focusing on optimizing geometric embeddings for downstream machine learning tasks.
• Developed a framework for continual learning on graphs using a mixture of teacher agents, enabling adaptive
• learning and reducing catastrophic forgetting.
• Addressed the challenges of over-smoothing (OSM) and over-squashing (OSQ) in GNNs by proposing
• LaGRAR-Project, a task-aware latent graph rewiring framework, resulting 5.69% improvement over SOTA baselines.

Nov 2022 – Jan 2025 · 2 yrs 2 mos · Delhi, India · On-site

• Tier-1 A* Publication (KDD Main Research Track):
• DPHGNN: A Dual Perspective Hypergraph Neural Networks.
• Working on several industry funded projects under Prof. Tanmoy C. on real world data, applying graph representation learning and higher dimensional structures on developing scalable real world applications.

Dec 2022 – Dec 2022 · 0 mo · IIT BOMBAY · On-site

• Research on Neural Algorithmic Cryptography and attended ACM Winter School on "Topics in Trust"

Oct 2022 – Nov 2022 · 1 mo · IIIT Hyderabad · Hybrid

• Attended Summer School on Computer Vision, organised by CVIT Lab IIITH.

Apr 2022 – Nov 2022 · 7 mos · Delhi, India

• Summer Research Internship under Prof. Srikanta B(IITD) on Temporal Graph Machine learning, Research Project: "Biases and Debiasing of Temporally evolving Graph RecSys

Jan 2022 – Dec 2022 · 11 mos · Jaipur, Rajasthan, India

• Research on 3D image generation from 2D real world medical images, collaborated with Dr. Diwanshu K. and a team of radiologists for true error modelling

Nov 2021 – Jan 2022 · 2 mos · Jaipur, Rajasthan, India

• Medical Imaging Research and Product development

Oct 2021 – Nov 2021 · 1 mo · India

• Research in different fields based on Deep learning

Dec 2019 – Dec 2019 · 0 mo · Mumbai, Maharashtra, India

• Field of Work: Algorithmic Optimization and Computational Algebra
• Project Description: Code Readability Improvement and Efficient ways of Developing Algorithms
• Learned a lot in the field of Data Structure and Algorithms