Current project in experimental quantum optics. Worked in following fields in relation to quantum : Quantum communication/cryptography, Quantum Materials, Quantum computing, State generation. CV quantum States : Generation and Non Gaussianity measures Quantum Communication: Controlled Quantum dialogue, Controlled quantum conference, Continuous variable quantum secret sharing, Noise: Markovian/non-markovian, Attacks: Individual/collective: Man in the middle, disruptive attack, cloning, Mutual information, key rate.(Matlab, Mathematica) Cryptography: Authentication, Key distribution, post-processing, Schemes: Classical cryptography, hashing, RSA, elliptical curve, QKD, post quantum cryptography; Quantum Computing: Hybrid quantum algorithm with superconducting qubits, Quantum adiabatic evolution, aimed at breaking RSA by prime factorisation, quantising binary equations, Gate decomposition, tomography. (Matlab), Quantum random walk for solving material deformation problem. Blind computation Variational quantum computing: Quantum finance problem solution, using portfolio optimisation. Grover search, Quantum Approximate Optimization Algorithm (QAOA), State generation: K-state, GHZ-state Quantum Machine Learning: Quantum-Clustering, Quantum Parameter estimation Languages: Qiskit, Qutip, Pennylane AI/Computer Science Projects: Portfolio optimisation: stock data prediction, generating random data (Use SVM, k-nearest neighbour) Bid-auction: Bid prediction System health: Synthetic dataset, anomaly detection for deploying app on kubernetes, upscaling/downscaling/autoscaling Languages: Python, Tensorflow, Matlab, Mathematica Time Series analysis: Data mining, data synthesis Anomaly Detection: Isolation forest, LSTM Cloud Computing: Kubernetes, Docker, Machine Learning: Supervised, unsupervised, NLP, Computer vision .