EXPERIENCE:

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Aug/2025 - Present 

Conducting independent, interdisciplinary research across applied machine learning, robotics, and secure communication systems and system concepts intended for future product and venture development.  

• Applied machine learning methods in Cosmology, Astrophysics, and Astronomy.
• Design of multimodal steganographic pipelines across image, audio, video, and text domains.
• Exploration of Generative Digital Twins and multi channel communication frameworks in robotics.
• Research into robotic mechanisms, material handling systems, and engineering materials.
• Application of Generative AI to robust steganographic and cryptographic processes.

Link to my works:

Jul/2024 - Aug/2025. 

- Developed CDPR kinematics algorithms for pick and place operation.

- Designed and Manufactured 'Double Acting Pneumatic Actuator'.

- Designed and Manufactured consoles for transformers.

- Developed 'Computer Vision' algorithms for classificaiton and detection of products.

Jul/2024 - Aug/2025. 

Founded HECPAA AIM (OPC) PVT LTD to address structural gaps in access to global higher education, particularly the reliance of traditional education financing models on family financial background, co-applicants, and collaterals. Existing national and international banks and NBFCs often exclude academically capable students due to rigid eligibility constraints, independent of merit or long term potential.
The objective was to explore a merit driven ecosystem that could connect eligible students to suitable universities while enabling full coverage education financing (tuition and living expenses) without co-applicants or collateral, and without restricting students to a narrow set of institutions and courses. The initiative focused on understanding systemic constraints across education consulting, student financing, and institutional partnerships, rather than short term placement outcomes. My responsibilities as a single founder include,

- Provided higher educaiton consulting services to students and professionals.

- Performed all the root management activities along with sales and marketing of the company.

- Conducted recruitment drive for multiple roles across the venture.

- Developed a static website representing business approaches, services offered etc.

- Closed the company to proceed with my higher educaiton pursuits.

Aug/2022 - Jun/2024.

Customers - DISH, VERIZON, VODAFONE

Oct/2021 - Jun/2022. 

Aug/2021 - Sep/2021. 

01/10/2020 - 31/05/2021

Master of Science, Machine Learning & AI (2025-2026).

Courses: Machine Learning, Deep Learning, Reinforcement Learning, Applied Statistics, Natural Language Processing (LLMs, BERT, Transformers etc), Computer Vision (Image & Video Processing), VLMs & MLLMs.

Master of Technology, Mechatronics Engineering (2019-2021).

Bachelor of Technology, Mechanical Engineering (2014-2018).

Astronomy - Exploring Time and space (2025-2026).

Particle Physics: An Introduction  (2025-2026).

• Reviewed research papers on 'Robotics, Computer Vision & ML' at the 'Journal of Mechatronics and Robotics'.

• Proposed design solutions for 'Hybrid energy generating system using HHO & Solar Power' at 'Energizing rural Africa during COVID-19 Ideathon'.
• Proposed design concepts for 'Identifying the Immune using smart watch' at 'LATIN AMERICA VS COVID-19 Ideathon'.
• Proposed design concepts for 'Optimal resource allocation using IOT in hospitals' at 'Beat the Pandemic Ideathon'.

AutoCAD, SolidWorks, Fusion 360, Inventor, CATIA, Creo, Siemens NX, Solid Edge, DraftSight, Altium Designer 

ANSYS (Structural, Thermal, Modal, Harmonic, Dynamics, CFD), HyperMesh, Abaqus, LS-DYNA, COMSOL Multiphysics 

Programming: Python, MATLAB/Simulink, LabVIEW, SQL,  HTML , CSS, JavaScript
Industrial Automation: PLC (Ladder Logic - Siemens) 

• ML: Linear & Logistic Regression, Decision Trees, Random Forests, Gradient Boosting (XGBoost, LightGBM), SVM, KNN, Naive Bayes, Clustering (K-Means, DBSCAN), PCA, Feature Engineering, Cross-Validation, Regularization (L1/L2), Model Evaluation Metrics.
   
• DL: MLP, CNN, RNN, LSTM, GRU, Transformers, Autoencoders, Representation Learning, GANs, VAEs, Diffusion Models, Attention Mechanisms, Loss Functions (CE, MSE, MAE), Optimization (SGD, Adam, LR Schedulers), BatchNorm, Dropout.
   
• Multimodal AI: Text-Image Models, Audio-Text Models, Video-Text Models, Multimodal Embeddings, Cross-Attention Fusion, Image Feature Extraction, Audio Spectrogram Processing (STFT, Mel-Spectra), Video Frame Feature Engineering.
   
• General AI: Data Preprocessing & Wrangling, Model Training & Tuning, Hyperparameter Optimization, Error Analysis, Explainable AI (SHAP, Grad-CAM), Model Compression (Pruning, Quantization), Experiment Benchmarking & Reproducibility.

•  Data Science: NumPy, Pandas, SciPy, Data Cleaning & Transformation, EDA (Exploratory Data Analysis), Statistical Analysis, Feature Engineering, Data Visualization (Matplotlib, Seaborn), Time-Series Analysis, A/B Testing, Hypothesis Testing, Data Pipelines. 

 Figma, Adobe XD, Canva 

Tableau, Power BI, Plotly, Seaborn, Qlik Sense, Excel.

SAP, Salesforce Propel, Windchill,  Trello, Miro. 

Photoshop, Illustrator, Filmora, Premier Pro, Adobe Audition, Lightroom, Blender, Cinema 4D, Maya, Keyshot, Soundtrap.