Full Stack Software Engineer & AI Enthusiast
Experienced in full-stack development using technologies like JavaScript, Python, C++, and Java. Proficient in both OOP and functional programming paradigms.
Expert in crafting intuitive user interfaces with modern web technologies like React, Next.js, HTML, CSS. Passionate about creating seamless user experiences.
Proficient in building AI/ML solutions using frameworks like PyTorch, TensorFlow, and Scikit-Learn, LLMs. Experienced in deep learning, data analysis, and predictive modeling.
Overland Park, KS, USA
Revamped the UI using custom React hooks to make the user flow more reliable and user friendly, implemented one of a kind lazy-loading and optimised image handling to decrease the load time by 30%.
Miami, FL, USA
Implemented a virtual lab for proctor and user for three new medical procedures, made critical changes in the existing lab procedures increasing active users to ~2 million .
New Delhi, DL, IN
Spearheaded the development of “MySwaasth” from concept through deployment using MERN stack and Agile methods, integrating a 3-D human symptom checker to reduce the conventional symptom checking time by 65%
Noida, GB Nagar, IN
Collaborated with cross-functional teams and senior developers to design, implement, test, deploy, and support AI functionalities, accelerating chatbot development by 30%.
Study Vault lets students upload materials like videos, audio, PDFs, and images, then query for targeted summaries.
View ProjectDeveloped a machine learning model using PPG signals from oximeters to predict early diabetes onset.
View ProjectDesigned and developed the virtual lab for three procedures with restructured code methodologies to minimise downtime.
View ProjectDeveloped a unique score-based college search platform, enabling students to connect with thousands of peers for personalised guidance.
View ProjectA Blockchain and javascript based platform for tracking of funds for governmental organizations using crytocurrency and metamask.
View ProjectSpearheaded a scalable, cost-effective approach for predicting crop yield months before harvest, aiding in planting decisions and risk management.
View ProjectSpearheaded the development of “MySwaasth” from concept through deployment using MERN stack and Agile methods, integrating a 3-D human symptom checker.
View ProjectMade a deep learning model for predicting alzheimers at an early stage using TensorFlow models on f-MRI of brain. Acheived a 70% prediction accuracy
View Project