I am a developer passionate about building scalable applications and creating beautiful user experiences.
Achievements
Recognitions and milestones that highlight my journey and expertise in the field.
Winner at Smart India Hackathon 2024
Competed against 49,000 teams and 299,000 participants to develop an innovative solution.
Dec 2024
Second Runner Up at UBS Campus Hackathon 2025
Competed against over 2000 students across India and placed 2nd Runner Up in the final round.
April 2025
Winner of Synergy 2024
Won first place among 1,000+ registrations and 300 teams in a national-level competition.
Feb 2024
Second Runner-Up at HackNiche 2024
Ranked 3rd out of 1,800+ participants in a nationwide hackathon focused on AI and automation.
Feb 2024
Second Runner-Up at RGIT's Code4AI
Placed 3rd in RGIT's prestigious AI competition.
Oct 2024
First Runner-Up at Technovate 2023 (SPIT)
Competed against 1,300+ registrations and 250 teams in a highly competitive tech fest.
Sep 2023
Second Runner-Up at RGIT's Recursion 6.0
Placed 3rd in RGIT's 6th Iteration of Recursion Hackathon among 100+ Teams.
Oct 2024
First Runner-Up in Data Science at DATAHACK 1.0
Placed 2nd among 900+ registrations and 300 teams in a national-level Data Science competition.
Mar 2023
Featured Projects
Explore some of my recent work and personal projects that showcase my skills and passion for development.
RetailInsightPro
Built a Computer Vision platform for analyzing consumer purchasing motivations through evaluation of product placement (corner placement, orientation), lighting, quantity, and strategic decisions.
DODSxEttara
Built an AI-powered chatbot, sales forecasting, market basket analysis, product recommendations, and a real-time web scraping pipeline on Zomato.
IntelPol
Developed a crime prediction platform using time-series models, real-time visualisations with Grafana, and incremental training with Airflow for continuous forecasting. Designed a scalable data pipeline with Kafka, Zookeeper, and Spark, ingesting crime reports into BigQuery with S3 as raw object storage. Automated web scraping of police reports via Airflow DAGs, ensuring continuous real-time updates.
ClaRiTy
Architectured a multimodal contrastive framework that fuses spectroscopic techniques optimised for cross-modal representation learning to learn modality-invariant embeddings and enable downstream tasks. Achieved an accuracy of 98.2% across two spectroscopic modalities.
TransformoDocs
Built an AI-powered document management system that ensures all uploaded documents are machine-readable via OCR and NLP pipelines. Implemented advanced metadata generation (NER, facial recognition, embeddings) to enhance searchability and organisation. Integrated hybrid search (BM25 + semantic + MongoDB) and prioritised accessibility, regulatory compliance, and seamless document workflows through auto-tagging, versioning, and collaboration.
Professional Experience
A timeline of my professional journey and internship experiences.
Tech Developer
DrillDown Solutions
Worked on developing scalable web applications using React and Node.js. Collaborated with senior engineers on optimizing database queries and API endpoints.
MLE Intern
AI4EdLabs
Assisted in building and maintaining backend services. Implemented new features and fixed bugs in the core product. Participated in code reviews and team meetings.
Research Intern
IIT Bombay CSRE
Assisted in building and maintaining backend services. Implemented new features and fixed bugs in the core product. Participated in code reviews and team meetings.
Skills & Expertise
A comprehensive overview of my technical skills in various technologies.