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hi, i like neural nets.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Quantum-Wave-Packet-Prediction-NN
September 10, 2025 – September 18, 2025
A neural network that predicts the spreading of a Gaussian quantum wavepacket in free space. Combines analytical quantum mechanics with feedforward neural networks to approximate time-dependent packet width.
View ProjectTL-Wiki.
August 31, 2025 – September 22, 2025
TL;Wiki: Instantly get concise, AI-powered summaries of Wikipedia pages, optimized for speed(naah not really lol 🥴), readability, and token-efficient LLM usage, wrapped in a sleek Brutalist-inspired interface.
View ProjectQuantum-Energy-Level-Prediction-NN
July 16, 2025 – July 19, 2025
A TensorFlow based neural network to predict energy levels of a quantum particle in a 1D box using quantum number, particle mass, and box length as features.
View ProjectMNIST-NN-FROM-SCRATCH
July 5, 2025 – July 5, 2025
A fully NumPy-based feedforward neural network to classify handwritten digits, built from scratch no TensorFlow or PyTorch involved!
View ProjectNeural-Network-from-scratch
May 4, 2025 – July 5, 2025
A feedforward neural network implemented entirely in Rust, learning logic gates like CNOT using basic gradient descent and backpropagation no external ML libraries used !!
View ProjectCouponThryft
April 6, 2025 – April 8, 2025
CouponThryft: A secure and easy-to-use platform for trading unused coupons and promo codes, connecting people who have discounts with those who need them.
View ProjectLinear-regression-model-from-scratch
March 2, 2025 – March 4, 2025
A fully vectorized NumPy implementation of multiple feature linear regression, optimized for computational efficiency and parallel hardware acceleration.
View ProjectProductivity-Dashboard
November 9, 2024 – May 6, 2025
A productivity dashboard with a todo list , time table and much more !! to manage tasks and time !!!!
View ProjectCultural Fit Analysis
The candidate's project portfolio is entirely personal, which suggests a self-driven individual. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit in a collaborative work environment. The projects are diverse in technology but primarily focused on personal exploration rather than industry-standard solutions. The target role is 'Data Scientist', and while there are relevant ML projects, the overall breadth of data science specific skills (e.g., data cleaning, feature engineering, MLOps, big data technologies) is not explicitly demonstrated.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief and lack detail regarding collaboration or problem-solving approaches. No psychometric test results are available.