About
I build AI-powered software, automation systems, and scalable web applications focused on performance, reliability, and great user experience.
Looking forward to new challenges and exciting collaborations!
Experience
Jan 2025 — Present - Developed AI-powered search and recommendation chatbot that improved product discovery and user engagement.
- Developed IT Asset Management reporting system that enabled teams to generate PDF reports in seconds instead of hours.
- Developed an AI driven system for property evaluation for real estate professionals.
- Created data processing and scraping pipelines, enabling faster and more reliable data availability for business use cases.
- Python
- Golang
- Redis
- Kafka
- PostgreSQL
- Nest.js
- React JS
- Kubernetes
- Docker
- AWS
Jul 2020 — Dec 2024 Developed and maintained web applications and websites for clients on the Fiverr platform. Worked on projects ranging from simple landing pages to complex web applications. Collaborated with clients to understand their requirements and deliver the best possible solution.
- MongoDB
- Express JS
- React JS
- Node JS
- Next JS
- HTML
- CSS
- JavaScript
- Tailwind CSS
Projects
View Gallery (2)FeaturedAIAgentic WorkflowsTrove
Modern, AI-powered conversational web application providing an interactive AI assistant platform with multi-modal support and advanced agent workflows.
- 🤖Multi-Modal AI Assistant
- ⚡Gemini & OpenAI Powered
- 💬Persistent Chat & Search
- •Powered by leading AI models from Google Gemini and OpenAI with agent workflows built using LangChain and LangGraph.
- •Includes secure NextAuth authentication, persistent chat threads, multi-modal file attachments, and integrated web search.
- •Features a responsive dashboard and landing page designed for a seamless desktop and mobile experience.
- LangChain
- Next.js
- PostgreSQL
- TypeScript
- +3 more
View Gallery (1)FrontendUI/UXLanding PagePositivus
High-impact digital marketing agency landing page transformed from Figma design mockups into a responsive Next.js application.
- 🎯Agency Landing Page
- 🎨Figma to Next.js
- ✨Modern Tailwind Design
- •Converted intricate digital agency Figma UI designs into pixel-perfect, interactive Next.js components.
- •Integrated custom illustrations, dynamic service sections, and high-converting CTA layouts with Tailwind CSS.
- •Ensured fluid responsiveness, clean component architecture, and modern UX design standards across all viewports.
- Next.js
- Tailwind CSS
- TypeScript
- Figma
- +1 more
View Gallery (1)FrontendUI/UXFigma to Next.jsiExec
Modern, responsive web application and landing page converted from Figma designs into a clean Next.js and Tailwind CSS frontend.
- 🎨Figma to Code
- 📱Responsive UI/UX
- ⚡Next.js & Tailwind CSS
- •Translated complex Figma UI/UX designs into pixel-perfect, accessible, and fully responsive web components.
- •Built clean navigation, modern typography, hero sections, and data visualization UI using Tailwind CSS.
- •Structured modular Next.js architecture optimized for fast load performance and cross-device responsiveness.
- Next.js
- Tailwind CSS
- TypeScript
- Figma
- +1 more
View Gallery (2)Developer ToolEvent-DrivenGull
Webhook orchestration and forwarding platform built for developers to inspect, transform, route, and replay webhooks with confidence.
- ⚡Real-Time Event Forwarding
- 🔄Webhook Replay & Debugging
- 🛡️Reliable Event Delivery
- •Provides real-time visibility into incoming events with full payload inspection and debugging tools.
- •Ensures reliable event delivery and customizable routing to multiple downstream services.
- •Built for high reliability in modern event-driven microservice architectures.
- FastAPI
- Python
- Next.js
- PostgreSQL
View Gallery (2)Data ScienceMachine LearningEDAHouse Prices EDA
Exploratory Data Analysis and predictive regression modeling pipeline for estimating residential home prices using feature engineering and XGBoost.
- 📊Correlation & EDA
- 📈XGBoost Predictive Modeling
- 🧹Feature Engineering
- •Performed comprehensive Exploratory Data Analysis (EDA) to uncover key feature correlations, distribution skewness, and missing data patterns.
- •Applied target transformations and domain-specific feature engineering to optimize model convergence and predictive stability.
- •Trained XGBoost and comparative machine learning regression models to accurately forecast property valuation metrics.
- Python
- XGBoost
- Pandas
- NumPy
- +3 more