AI&ML Full Stack Developer (Intern)
Alerix
Feburary 2026 - Present
- Designed and developed the complete company website independently, focusing on responsive UI, performance optimization, and modern frontend architecture.
- Built and implemented user interfaces for AI-powered SaaS and lead-generation platforms, including dashboard systems, workflow components, and interactive data views.
- Integrated frontend applications with backend scraping and automation systems to support real-time data processing and intelligent lead workflows.
- Contributed to client-facing product development by creating scalable UI components, improving user experience consistency, and supporting full-stack feature integration.
AI&ML Full Stack Developer (Intern)
Anti AI
March 2026 - May 2026
- Developed immersive AI-focused web experiences and enterprise dashboards using modern frontend technologies and responsive design principles.
- Built financial analytics and command-center style interfaces with real-time KPI visualization, forecasting modules, and interactive data components.
- Contributed to AI-native cybersecurity and HRMS platforms by implementing scalable frontend architecture, role-based workflows, and API-integrated modules.
- Designed and optimized user flows, component structures, and interactive UI systems with focus on performance, accessibility, and clean user experience.
AI Development Consultant (Freelance)
NYX Tech Solution
March 2026 - May 2026
- Worked as an AI Development Consultant on enterprise AI dashboard and analytics solutions, focusing on intelligent data workflows and scalable system design.
- Designed and integrated AI-oriented backend systems using FastAPI, PostgreSQL, Redis, and LLM orchestration pipelines for automated insights and query handling.
- Collaborated on full-stack architecture involving React-based dashboards, KPI visualization systems, authentication flows, and API-driven modules.
- Supported development of AI-powered analytics capabilities including natural language query processing, predictive insights, caching optimization, and structured data analysis.
Python Developer Intern
Infosys Springboard
Sept 2025 - Jan 2026
- Developed an ML-powered system for detecting fraudulent job postings using NLP-based text classification techniques.
- Built end-to-end data processing pipelines involving text cleaning, TF-IDF feature extraction, and model evaluation.
- Designed prediction workflows with confidence scoring, historical logging, and analytics-driven monitoring.
- Integrated machine learning models into a Flask-based application with focus on performance, usability, and scalability.
Contact Form
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