Hi, I’m Ansik, a Computer Science graduate from Hyderabad who loves turning messy, real-world problems into simple tools that work. I learn quickly, finish what I start, and build software that helps people make safer, smarter decisions. I took a client’s idea for a stock screener from blank page to launch, covering 5,300+ NSE and BSE stocks with live prices and portfolio tracking. I shaped its pricing plans, wrote the documentation, and reached around 10,000 views in three to four months. I also built a tool that scores job postings from 0 to 100 for authenticity, reaching 95% accuracy on unseen listings and growing from a checklist into my own machine learning model. Other builds include a secure finance backend, a notes app with expiring private links, and an app that hides messages in images. I work across the full stack, from React screens to Node.js and Python systems with databases and machine learning. I use AI tools like Cursor and Claude Code to move fast, but I still test and understand what I ship. I am also familiar with creating automation pipelines using N8N. I’ve taught aptitude at NxtWave, completed a cybersecurity internship with Edunet Foundation and IBM SkillBuild, and served as Event Manager at my college’s Entrepreneurship Cell, where our startup pitch ranked 4th in India at IIT Bombay’s E-Summit 2024. I speak English, Hindi, Telugu and Odia, and ranked 4th in the Armed Personnel Category in the University of Hyderabad entrance exam. Outside work, I read books, spend time in nature, go to the gym and vibe code. Together they keep me curious, steady and always making things. I’m now completing a Data Science and AI program with IIT Roorkee and Masai School, and I’m looking for an entry-level role in software development, data science or data analytics in Hyderabad or Mumbai. At Google DevFest 2026, I’m here to learn, meet builders and show what I’ve made. I’d love to build something with you and utilize my potential.
Associate Aptitude Instructor
Nxtwave Disruptive Technologies
- - I trained and learned several company specific aptitude question patterns as well as tips and tricks to solve them quicky.
- - I learnt how to stay proactive and punctual in a corporate and office setting.
- - I also learnt how to manage and produce results with limited/finite resources.
Stock Screener SaaS Web App (Client Project)
• Translated a client's requirements into a customizable stock screener covering 5,300+ NSE and BSE stocks, with live prices, watchlists, portfolio tracking and real-time analysis. • Defined Free, Pro ($20/month) and Premium ($40/month) plans with discounted yearly rates, and tied features such as stock search, number of watchlists and automatic price refresh to each plan. • Determined the pricing and payment integration approach and wrote the project documentation. • Launched on a custom domain through Cloudflare, reaching about 10,000 views in 3-4 months.
Finance Data Processing Backend
• Developed secure REST APIs for user management, transactions and dashboard reports. • Implemented role-based access control with three permission levels: Viewer, Analyst and Admin. • Built endpoints that report income, expenses, balances and spending trends. • Future updates of this application includes a customizable multi-user dashboard with an option to visualize records and access analytics.
Job and Company Verification Tool
• Engineered a tool that checks a single job link, gathers company reviews and online presence data through Firecrawl, and flags warning signs in the posting. • Scores each job from 0 to 100 for authenticity, reaching 95% accuracy on unseen data. • Delivered the first version with a Flask REST API, a nine-signal weighted scoring system, a unit test suite and a 39-page PDF report (ReportLab), deployed on Render, Railway and Vercel. • Introduced a bulk self-training feature that trains the model on batches of 30-40 company links, with predictions verified through Firecrawl. • Rebuilt the app around an in-house machine learning model that classifies job listings, after applying feature engineering learned in the Data Science course.
• Developed a web app that encrypts text messages into image files and decrypts them for the receiver. • Implemented pixel-based encryption to secure data transmission. • Added dark mode and client-side routing to a responsive React and Tailwind CSS interface.
Bachelors of Technology
Institute Of Aeronautical Engineering · First Class
Higher Secondary Education - Intermediate
Trividyaa Junior College · First Class
Attendee · Oct 24, 2026