Sophomore at IIT MADRAS
I am currently pursuing a degree in Chemical Engineering at IIT Madras, where I am passionate about both technical innovation and personal growth. With a solid foundation in C++ and Python programming, I enjoy applying computational methods to solve complex engineering challenges and streamline processes. Beyond academics, I channel my enthusiasm and teamwork skills as a proud member of the NSO Hockey team at IIT Madras. This experience has taught me the value of discipline, collaboration, and resilience—qualities that I bring to every project and initiative I undertake. Driven by clear goals and an unwavering commitment to excellence, I consistently approach my work with energy and enthusiasm. I am eager to connect with professionals and peers who share a passion for engineering, technology, and collaborative growth.
Nirmaan IITM
8 mos · India
Saathi, IIT Madras
9 mos · India
Chemical Engineering Society , IIT Madras
1 yr 3 mos · India
As the Coordinator of the Chemical Engineering Alumni Club at IIT Madras, I will be responsible for fostering engagement between alumni, students, and faculty. My role involves organizing networking events, mentorship programs, and industry interactions to strengthen our alumni network. I aim to enhance collaboration through knowledge-sharing initiatives, career guidance sessions, and alumni reunions. By leveraging the expertise of our distinguished alumni, I hope to create meaningful opportunities for both current students and graduates, ensuring a strong and supportive professional community.
Chemical Engineering Society , IIT Madras
6 mos
Being a Coordinator of the Chem Alumni Club ,Acted as a bridge between faculty, alumni, and students, fostering stronger professional and personal connections within the Department of Chemical Engineering. Also had experience in engaging with new startups in NIRMAAN iit madras the pre-incubator as a coordinator.
E-Cell IIT Madras
11 mos
Oversaw end-to-end content strategy, including articles, reports, startup profiles, and thought pieces on entrepreneurship and innovation. Initiated and secured podcast collaborations with industry leaders, including Farzad Palia (CEO, Viacom18 Digital Ventures), strengthening E-Cell’s industry network.
E-Cell IIT Madras
5 mos · India
Associate Manager – Editorial and Research Team, e-cell IIT Madras In this role, I am a part dynamic team of researchers and editors to develop and disseminate high-quality, industry-relevant content that supports the entrepreneurial ecosystem at IIT Madras. My responsibilities include: Content Strategy & Management: Overseeing the creation, curation, and publication of articles, research reports, and multimedia content to ensure alignment with the latest trends and insights in the startup world. Project Coordination: Managing multiple research and editorial projects simultaneously, ensuring timely delivery while maintaining rigorous quality standards.
Happieloop Technologies
Performed exploratory data analysis using Pandas and Matplotlib; implemented image classification using a pre-trained deep learning model with transfer learning; built and visualized a K-Means clustering model with feature scaling and optimal K selection.
Assoc. Prof. Himanshu Goyal
Modeled a Steam Methane Reforming 3D reactor in 1D Python to simulate and optimize hydrogen yield. Engineered a Python/C++ pipeline using Numba JIT that achieved a reported 1700× speedup. Translated 15+ research papers into production-grade algorithms solving 5,600+ coupled stiff ODEs with 99.9% stability.
Bachelor of Technology, Chemical Engineering
Jul 2024 - Jun 2028
8.87/10 CGPA
Class-10
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Science
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Class X
2022
91.17%
Class XII (Maharashtra State Board)
2024
96.8%; topped college in 12th grade with 91.17% in HSC board
This is a local, offline text-to-image generation application built using Stable Diffusion v1.4 and Streamlit. This tool allows users to generate high-quality images from text descriptions with granular control over inference steps and guidance scale.
Built an end-to-end banana ripeness prediction system using PyTorch and a fine-tuned ResNet18 model optimized with ONNX for low-latency inference. Designed a supply chain optimization engine as a Capacitated Vehicle Routing Problem using a high-performance C++ solution with Pybind11 integration.
Augmented the Restormer architecture with Fourier Transform layers to process spatial features and filter high-frequency noise. Engineered a custom Cosine Annealing learning-rate scheduler with 50-epoch warm restarts in PyTorch.
Built a real-time generative AI text-to-image application using PyTorch, Hugging Face Diffusers, and Streamlit. Optimized VRAM utilization and latency through dynamic CUDA hardware routing, FP16 processing, and state caching. Created a data provenance pipeline storing multi-image outputs and hyperparameter metadata in JSON for experiment reproducibility.
Built an LSTM-GRU hybrid deep learning model using TensorFlow and Keras, achieving 97.8% test accuracy and a 0.985 AUC score. Applied tokenization, lemmatization, stopword removal, model tuning, and precision, recall, F1-score, and ROC-AUC evaluation.
Saarang, IIT Madras
Jan 2025 - Jan 2026 · 1 yr 1 mo
Placement & Internship Cell, IIT Madras
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Saarang
2024
Saathi, IIT Madras