Bengaluru, Karnataka, India
I’m Aarsh Patel, a passionate full-stack developer and UI/UX designer, constantly exploring new technologies to build impactful digital solutions. My experience spans web development, augmented reality (AR), and user experience design, with a strong foundation in problem-solving and scalable architecture. Jobs & Internships Updates WhatsApp channel 👉 https://whatsapp.com/channel/0029VbAzEK37T8bYvABQ9C0v Telegram channel 👉 https://t.me/+3pjh8ywpwz0xMmM1 🔹 What I Do ✔ Full-Stack Development – Creating seamless, efficient, and scalable web solutions. ✔ UI/UX Design – Enhancing user experience through intuitive and engaging designs. ✔ Augmented Reality (AR) – Developing immersive applications that bridge the digital and real world. ✔ Competitive Programming – Solved 200+ problems on CodeChef, refining algorithmic skills. ✔ Freelancing & Collaboration – Open to projects and partnerships in tech-driven innovation. 🔹 Experience & Achievements ✅ Intern @ VisiARise 7 – Contributing to UI/UX and web development for cutting-edge projects. ✅ Cisco Cohort Internship – Developed Pragati, a platform connecting workers with customers to reduce unemployment. ✅ Smart India Hackathon (SIH) Finalist – Designed a catalytic process for waste plastic conversion into petrochemicals. ✅ Co-Head of Logistics @ IEEE RGIPT – Leading and organizing technical initiatives. ✅ Freelancer & Open Source Contributor – Passionate about building and improving digital experiences. 🔹 Looking For 💡 Exciting opportunities in software development, AR applications, UI/UX, and freelancing. 💬 Let’s connect! I’d love to collaborate on projects that push the boundaries of technology. 📩 Feel free to reach out: [email protected]
Spearheading technology-driven governance initiatives to optimize public service delivery and administrative efficiency at the district level. A primary focus of my role is the development and management of the DC (Deputy Commissioner) Dashboard, a centralized data tracking platform for real-time district monitoring. Key Responsibilities & Impact: • Managed the DC Dashboard to track critical performance metrics across various district departments, providing the Deputy Commissioner and senior officials with actionable, real-time insights for faster decision-making. • Streamlined complex departmental reporting workflows by integrating scattered civic data into a unified, interactive visualization interface, significantly reducing manual data compilation time. • Analyzed administrative data to identify bottlenecks in resource allocation, ensuring more efficient execution of public welfare schemes and district projects. • Acted as a bridge between technical implementation and grassroots administration, evaluating and deploying technological interventions to solve core civic challenges.
Selected for Winter Research Internship at Solid State Physics Laboratory (SSPL), DRDO, Delhi. • Working on the project “Machine Learning Based Analysis and Prediction of MEMS Sensor Performance” • Studying MEMS sensors such as accelerometers / pressure sensors and their key performance parameters • Applying Machine Learning models to analyze and predict sensor characteristics like sensitivity, resonant frequency, and noise • Using data from simulations and research literature for performance modeling and analysis • Preparing a technical project report under mentor guidance as part of DRDO research workflow Internship to be completed under the supervision of SSPL scientists, concluding with an official DRDO Internship Certificate upon successful evaluation.
Project: Next-Generation Smart Grid Forecasting: A Big Data Analytics Approach Developed a Deep Transformer Network for Short-Term Load Forecasting (STLF), outperforming traditional ARIMA and LSTM models in capturing long-term temporal dependencies. Implemented a Big Data 4Vs framework to manage utility-scale datasets, integrating heterogeneous sources including weather telemetry, smart meter (AMI) logs, and power quality metrics. Engineered cyclical time embeddings and signal processing features to enhance the model's understanding of seasonal and daily load patterns. Achieved a real-time inference latency of <60ms, validating the system’s readiness for high-velocity SCADA integration and automated grid dispatch. Tech Stack: Python, TensorFlow/Keras, Multi-Head Attention, NumPy, Pandas, Scikit-learn, MinMaxScaler.
Selected as an Open Source Contributor among thousands of applicants for GSSoC 2025, an initiative by the GirlScript Foundation. Actively contributing to real-world open-source projects under the guidance of experienced mentors. ollaborating with developers across India to write clean, scalable code and resolve issues via GitHub. Learning industry-standard practices like version control (Git), documentation, and pull request management. Enhancing technical and communication skills by working in diverse tech stacks and project domains.
As a Contributor at Open Source Connect India 2025, powered by NexFellow, I am actively engaged in meaningful open-source projects that foster collaboration and innovation. My responsibilities include: Contributing to open-source repositories by writing clean, efficient, and scalable code Collaborating with developers nationwide to solve real-world challenges through open-source solutions Participating in peer learning, code reviews, and community-driven knowledge sharing Building impactful projects that emphasize innovation, accessibility, and real-world application Expanding technical expertise while growing within a vibrant open-source ecosystem This role allows me to learn, build, and collaborate, while contributing to projects that create a wider impact in the developer community.