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Full-Stack & AI/ML Developer | Building Scalable Web Applications & Intelligent Systems
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
opencode-autodiscover
May 6, 2026 – Present
OpenCode plugin to auto-discover LLM models from local OpenAI-compatible endpoints like LM Studio and Ollama
View Projectfood-delivery-dispatch
April 7, 2026 – Present
food-delivery-dispatch — GitHub repository
View Projectsecurity-bug-hunter
March 25, 2026 – Present
An OpenEnv environment where agents learn to detect SQL injection, XSS, CSRF and other vulnerabilities through LLM-powered reinforcement learning
View Projecteci-slm
March 24, 2026 – Present
Compact TensorFlow language model for Election Commission of India (ECI) domain pretraining and assistant-masked SFT.
View Projectml-network-security-project
February 27, 2026 – Present
End-to-end MLOps pipeline for phishing website detection using scikit-learn, MLflow, FastAPI, and MongoDB Atlas.
View ProjectWAFormer
November 8, 2025 – November 8, 2025
Transformer-based WAF with full pipeline: log ingestion, parsing, tokenization, training on synthetic benign traffic, and real-time non-blocking anomaly detection for Apache/Nginx with incremental updates.
View ProjectMarkdrop
October 25, 2025 – Present
Markdrop - A powerful visual markdown editor and builder. Create beautiful README files, documentation, and markdown content with an intuitive drag-and-drop interface. Features live preview, custom blocks, and export capabilities.
View ProjectAnalyserGPT
October 19, 2025 – October 21, 2025
🤖 AI-Powered CSV Data Analysis with Multi-Agent Collaboration & Streamlit UI
View ProjectTAIL.ai
October 10, 2025 – October 26, 2025
A living portfolio of agentic AI systems - bridging learning, art, and innovation.
View ProjectKisaanCredit
August 29, 2025 – September 3, 2025
KisaanCredit is a full-stack 'Soil to Sale' ecosystem that digitizes and democratizes the carbon farming market for India's smallholder farmers
View ProjectCultural Fit Analysis
The candidate's extensive personal project portfolio demonstrates strong initiative, curiosity, and a passion for technology, which are positive indicators for cultural fit. The projects span various domains (AI, security, web development, MLOps), suggesting a broad interest and willingness to explore new areas. This diversity could contribute positively to a dynamic team environment. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration and interpersonal skills directly.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-directed learning approach. The diversity of projects suggests an ability to work across different technical domains. However, without specific psychometric or English test results, it is difficult to assess communication clarity, work attitude, stress handling, or team collaboration directly. The provided scores for these tests are 0, indicating no completed assessment data for these areas.