About
Who I Am
I'm a Full Stack Engineer at CAGR Labs, where I design and build scalable fintech CRM and wealth management platforms. I work across the full stack — from backend APIs and async pipelines to responsive UIs and mobile apps.
I recently graduated with a B.Tech in Electrical & Computer Engineering and immediately transitioned into a full-time engineering role, having already shipped 15+ production modules during my internship.
Outside of code, I'm passionate about financial markets — I've been actively investing for 3+ years and have managed portfolios for multiple individuals, combining technical rigor with market intuition.
MIT World Peace University
B.Tech — Electrical & Computer Engineering
Stock Market Enthusiast
Active investor for 3+ years. Managed ~5 individual portfolios with a focus on market analysis, risk management, and diverse investment strategies. Previously worked at a mutual fund company.
Experience
Where I've Worked
Full Stack Engineer
- ▸Designed and shipped 15+ production modules including Tasks, Review Meetings, Leads, Investor360, Portfolio Holdings, Lifecycle Activity, Notifications, and Business Reports.
- ▸Developed scalable backend systems using Flask, PostgreSQL, SQLAlchemy, Alembic, and Celery — REST APIs, RLS-safe migrations, async workflows, and automation pipelines.
- ▸Built analytics dashboards covering AUM, SIPs, Capital Gains, Dividends, Goals, EMIs, and business KPIs with CSV/PDF export via WeasyPrint.
- ▸Implemented reusable platform features: mentions, threaded comments, tagging systems, lifecycle feeds, universal search, and role-based access controls.
- ▸Enhanced investor experience via mobile-responsive UI revamps, PWA support, XIRR tracking, folio management, and multilingual Flutter app updates.
- ▸Automated CAMS/KFintech data ingestion using Selenium and Celery, significantly reducing manual operational effort.
Full Stack Intern
- ▸Completed 10+ full-stack modules for a fintech CRM/wealth management platform covering Goals, Assets, EMIs, Leads, Tasks, and Review Meetings — each with lifecycle workflows and analytics.
- ▸Designed a Tasks Management System from scratch with observer-based assignments, state lifecycle tracking, an analytics dashboard, and CSV/XLS exports.
- ▸Developed 5 business reports (AUM, SIP, Capital Gains, Dividend, Tax Kit) with CSV/PDF export and enhanced Investor360 with XIRR tracking and folio management.
- ▸Contributed to data ingestion pipelines for integrating client data into the platform.
Projects
Things I've Built
Full-stack personal productivity PWA with 14 independent modules — Kanban boards, finance tracker, rich-text notes, freeform canvas, calendar with cron-based email reminders, and global unified search.
- ▸Personal finance module: transaction CRUD, custom color-coded categories, income/expense analytics, trend visualizations, monthly summary API, and optimistic UI with pending queue.
- ▸5 independent version-history and data-restore systems with per-save snapshots and email-triggered full restore flows.
- ▸Diagnosed and resolved a production outage from Prisma connection pool exhaustion — introduced singleton client pattern, eliminating redundant DB round-trips.
- ▸Single /api/search endpoint fanning out across 4 data sources in parallel, surfaced in a global modal with grouped results and full keyboard navigation.
ML project using an atmospheric scattering model to enhance video visibility in challenging weather. Integrated object detection and deployed a web interface via Flask.
- ▸PSNR: 17 | SSIM: 0.89 — strong perceptual quality metrics.
- ▸Deployed user-friendly Flask web interface for API accessibility.
Medical AI ChatBot
AI-powered chatbot using ML techniques that diagnoses diseases and provides basic medical information to patients before a doctor consultation.
- ▸Analyzes input symptoms to output a comprehensive list of possible medical conditions.
- ▸Addresses the challenge of limited consultation time through AI-powered pre-screening.
Food Order Prediction Model
Predictive model for food orders using multi-restaurant data. Designed and implemented algorithms to analyze and train the model for accuracy.
- ▸Collaborated on multi-restaurant dataset analysis and model training pipeline.
- ▸Enhanced prediction accuracy and reliability through iterative model improvements.
Skills
What I Work With
Contact
Let's Connect
I'm currently open to new opportunities — whether it's a full-time role, contract work, or an interesting collaboration. My inbox is always open.
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