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Applied AI Engineer | Quantum AI & Machine Learning Developer | Gen AI | Data Scientist | HOPE AI Hackathon Winner 2025 | Exec. Member, SU India AI Summit 2025
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Physics-Based-Qudit-Simulation-for-Identifying-Predominant-Phosphorylation-Sites
May 7, 2026 – Present
Physics-Based-Qudit-Simulation-for-Identifying-Predominant-Phosphorylation-Sites — GitHub repository
View ProjectOptimal-Dissipative-Pathways-in-Open-Quantum-Systems
April 13, 2026 – Present
A Variational Control Framework for Energy-Efficient State Relaxation
View ProjectHarnessing-Quantum-Computing-for-Structure-Based-Inhibitor-Design-Against-Flaviviridae
March 24, 2026 – Present
Hybrid quantum-classical pipeline targets conserved NS5 RdRp in flaviviruses, combining RHF/def2-TZVP with VQE to compute inhibitor binding energies beyond classical limits. Demonstrated on Zika RdRp, enabling quantum-assisted, synthesizability-aware antiviral discovery.
View ProjectHamiltonian-Encoded-Quantum-Feature-Maps-Augment-Classical-CNNs-for-Pulmonary-Tuberculosis-Detection
March 23, 2026 – Present
Hamiltonian-Encoded-Quantum-Feature-Maps-Augment-Classical-CNNs-for-Pulmonary-Tuberculosis-Detection — GitHub repository
View ProjectQuantum-Enabled-Communication-of-Learned-Neural-Representations
February 17, 2026 – Present
Quantum-Enabled-Communication-of-Learned-Neural-Representations — GitHub repository
View ProjectQuantum-Inspired-Communication-of-Learned-Neural-Representations
January 5, 2026 – Present
An Information-Theoretic Framework for Direct Representation Transfer Between Neural Networks
View ProjectQuantum-Enhanced-Convolutional-Neural-Networks-for-Automated-Bone-Cancer-Screening-on-Radiographs
September 22, 2025 – Present
Quantum Machine Learning; Convolutional Neural Networks; Medical Image Analysis; Bone Cancer Detection; Hybrid Computing; Deep Learning; X-ray Imaging
View ProjectImpact-of-Intrinsically-Disordered-Regions-and-Functional-Disorder-Hotspots-in-the-Human-Kinome
July 25, 2025 – October 13, 2025
Human kinase-focused IDR prediction framework using an LSTM model . It maps IDRs across the human kinome, classifies them by length, and analyzes their conservation and regulatory role. We identified 1,039 functional hotspots linked to signaling, phosphorylation, and drug targeting.
View ProjectAI-Powered-Tuberculosis-Detection-and-Treatment-System
July 10, 2025 – July 10, 2025
A solution which is designed for integration with mobile health units, community clinics, and telemedicine workflows which helps as a bridge in the healthcare gap.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on quantum computing and quantum machine learning, which may indicate a strong research-oriented mindset. While this demonstrates deep technical interest, the lack of diverse project types or team-based work in the provided data makes it difficult to assess broader cultural fit for a typical industry 'Data Scientist' role that might require more generalist skills or collaborative project experience. The projects are primarily personal, limiting insight into collaboration or agile methodologies.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.