M.Tech (Artificial Intelligence) · Research · Machine Learning
I am an M.Tech student in Artificial Intelligence at the Indian Institute of Science (IISc), with strong interests in machine learning, deep learning, and research-oriented system design. My work focuses on data imputation, uncertainty-aware learning, and end-to-end AI systems.
Indian Institute of Science (IISc), Bangalore
Aug 2025 – Aug 2027National Institute of Technology, Silchar
Dec 2021 – May 2025Siemens Digital Industries Software (Onsite)
Jan 2025 – Jun 2025Worked on prompt engineering for LLM-based SQL generation, data migration automation workflows, and evaluation of model effectiveness for domain-specific query generation.
Tata Consultancy Services (TCS)
May 2024 – Jul 2024Developed a React–ROS based real-time interface for speech recognition and robot command processing, resolved image caching issues, and prepared technical documentation.
Designed a cost-aware ensemble ML system that estimates predictive uncertainty and defers unreliable predictions instead of forcing unsafe decisions, targeted for high-risk domains like healthcare.
Python · Scikit-learn · Uncertainty Estimation · ML Systems GitHubBuilt a post-deployment monitoring framework to detect covariate shift using statistical drift metrics and identify silent model failures before performance degradation becomes visible.
Python · PSI · KS Test · Model Monitoring · ML Ops GitHubFacial recognition–based attendance system with automated identity verification and scalable backend architecture.
Python · OpenCV · Deep Learning GitHubPredictive modeling of turbo engine degradation to estimate remaining useful life using time-series sensor data.
Python · Time Series · Prognostics GitHubMachine learning–based system for predicting forest fire occurrence using environmental and meteorological data.
Python · ML · Environmental Data GitHubAutomated web scraping tool for extracting structured information from dynamic websites.
Python · Web Scraping GitHubPublished in SipCov 2025. Introduced a multi-perspective feature weighting framework combining Gini index, entropy, and mutual information for improved learning robustness.
Presented at the 4th IEEE BECITHCON 2025, Dhaka, Bangladesh (Paper ID: 140). Proposed an edge-aware U-Net architecture enhanced with frequency-domain refinement for accurate medical image segmentation.
Presented at the 4th IEEE BECITHCON 2025, Dhaka, Bangladesh (Paper ID: 138). Combined Vision Transformers with SMOTE-based imbalance handling for ultrasound-based PCOS diagnosis.
Presented at the 13th IEEE International Conference on Intelligent Systems and Embedded Design (ISED 2025), held at National Institute of Technology Raipur, India. The work explores dual-domain feature learning by combining Vision Transformers with frequency-aware CNNs for robust ear-image-based gender classification.
Presented at the 5th International Conference on Emerging Electronics and Automation (E2A 2025), National Institute of Technology Silchar (Paper ID: 356). Developed a spatial-data-driven machine learning framework for landslide susceptibility mapping.
Published in ICECCME 2024, Maldives. Proposed a self-supervised transformer-based framework for handling missing values in medical datasets.
Published in IEEE ODICON 2024. Applied transformer-based self-supervised learning for restoring missing or degraded content in historical manuscripts.
Published in IEEE HiPC 2024. Combined transformer-based imputation with attention-guided GAN oversampling to improve medical data analysis under class imbalance.
A bilingual (English–Hindi) dataset consisting of responses to a standardized Prakriti assessment questionnaire based on classical Ayurvedic principles. Includes 200 respondents with 24 questionnaire items and computed dosha scores.
A dataset of 1,499 news articles labeled as real or fake, with a subset of real articles synthetically transformed into propagandistic content using techniques such as appeal to authority, fear, and loaded language.
National Institute of Technology Silchar
Awarded the Gold Medal for Best Engineering Graduate of the institute in recognition of outstanding academic performance and overall excellence.
Issued: November 2025IEEE Computer Society
Received travel grant to attend and present research work at the IEEE HiPC 2024 Conference.
2024Visual art as a medium for creative expression and conceptual exploration. Interested in abstract and nature-inspired compositions.
Writing poetry and short reflective pieces focused on human thought, introspection, and observation.
Actively play foosball as a recreational sport, emphasizing coordination, strategy, and competitive teamwork.