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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Eidolon
January 30, 2026 – Present
Eidolon is a **stateful, memory-orchestrated LLM inference engine** designed to run large models on constrained hardware through dynamic weight residency, predictive prefetching, and portable checkpoints.
View Projectdebate-engine
December 18, 2025 – Present
Multi-model debate interface inspired by Andrej Karpathy Pro/Con/Judge agents with memory, uncertainty signals, and OpenRouter + Ollama support
View ProjectWi-Fi-gesture-dectection
November 8, 2025 – November 10, 2025
WiFi CSI-based gesture recognition using dual-path ensemble deep learning (CNN2D + CNN1D-LSTM). 90.19% accuracy on ESP32 hardware with 426K parameters.
View Projectpragati
September 24, 2025 – September 29, 2025
An AI-powered platform for automated Detailed Project Report (DPR) analysis, combining XGBoost-based feasibility classification, MDONER/NEC compliance validation, OCR text extraction, and an interactive React dashboard to deliver transparent, real-time project evaluation and risk assessment.
View ProjectDeepfake-Detection-CNN
September 10, 2025 – September 13, 2025
A deep learning prototype using Convolutional Neural Networks (CNNs) for deepfake detection, achieving 92% accuracy on the test dataset. Designed as a proof-of-concept for AI-based media verification and research experimentation.
View ProjectData-Structure-Lab
September 7, 2025 – October 26, 2025
Complete KTU Data Structure Lab (C Programs + Algorithms). Easy reference for students & contributors.
View ProjectHeart-Risk-Detector-NeuralNetwork
September 4, 2025 – September 4, 2025
Implemented a neural network from scratch in Python with just NumPy, no frameworks involved.
View Projectencypher
August 29, 2025 – September 1, 2025
Lightweight React hook for encrypted localStorage/sessionStorage with a useState-like API.
View ProjectPyroScan-AI
July 29, 2025 – August 5, 2025
PyroScan AI is a GenAI-powered multi-agent system for real-time forest fire prediction across 10 global zones. Designed for researchers and disaster teams, it includes agents for fire detection, weather analysis, and historical data mining. Deployable via CLI or Docker.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal, research-oriented AI/ML projects. While demonstrating strong technical initiative, there is no information on team-based projects, open-source contributions beyond personal repositories, or engagement in broader community activities. This makes it difficult to assess cultural fit for a collaborative team environment. The projects are diverse within the AI/ML domain, but lack breadth in other software engineering areas often beneficial for a well-rounded data scientist.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear and technically focused, but do not provide insight into collaboration, problem-solving approach, or communication style in a team setting.