Machine Learning Engineer with less than a year in AI Systems, TensorFlow & PyTorch.
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Machine Learning Engineer and Senior Computer Science Student specializing in TensorFlow and Keras, with robust experience in PyTorch and REST API development. Passionate about building scalable, clean, and efficient end-to-end AI systems.
October 6 University
BSc. · Computer Science & Information Systems – Major: Computer Science
October 1, 2022 – June 1, 2026
Freelance
Machine Learning Engineer
November 1, 2025 – January 1, 2026
India
CodSoft
Machine Learning Internship
August 1, 2025 – September 1, 2025
India
Generative Pre-trained Transformer (GPT) from Scratch
April 1, 2026 – May 1, 2026
Engineered a 10.7M parameter Decoder-only Transformer from scratch in PyTorch, implementing custom scaled dot product attention with causal masking, feed-forward networks, and decoupled weight decay AdamW for autoregressive text generation. Designed an End-to-End machine learning pipeline by decoupling the PyTorch inference engine and deploying the model via a FastAPI REST endpoint, serving a custom asynchronous web interface for real-time, dynamic prompt generation. Validated architectural effectiveness by developing a baseline Bigram language model, successfully proving the multi-head attention mechanism's ability to capture complex, long-range linguistic dependencies across a 256 token context window.
Deepfake Video Detection
March 1, 2026 – April 1, 2026
Architected a hybrid deep learning pipeline, developing a highly accurate 94% video classification model using EfficientNetB4 for spatial frame-level feature extraction and a stacked GRU network for temporal sequence modeling. Engineered a cloud-native REST API, building and deploying a FastAPI microservice on Hugging Face Spaces that optimizes memory allocation to seamlessly download, process, and analyze asynchronous video URL streams. Implemented enterprise-grade evaluation suites, addressing severe dataset class imbalances using weighted loss penalization to ensure real-world reliability against adversarial media.
Sonic Sleuth – Audio Deepfake Detection
January 1, 2026 – March 1, 2026
Engineered a custom PyTorch CNN based on state-of-the-art academic research, surpassing the original paper's baseline by achieving a 99.15% test accuracy and 98.98% F1-score on a diverse 55,000+ file dataset. Architected a distributed dual GPU training pipeline to handle complex LFCC and SpecAugment processing, leveraging larger effective batch sizes to achieve smoother gradient descent, optimal convergence, and model generalization. Deployed the inference engine to Hugging Face Spaces as a FastAPI microservice, safely streaming audio payloads directly into RAM while enforcing strict Pydantic JSON contracts and 10MB limits to prevent Out-of-Memory (OOM) crashes.
Super Mario Bros AI Agent
November 1, 2025 – December 1, 2025
Trained an autonomous Reinforcement Learning agent to play Super Mario Bros using Proximal Policy Optimization (PPO) via Stable Baselines3 and PyTorch. Engineered a custom OpenAI Gym environment pipeline, implementing frame stacking, grayscale transformation, and action space reduction to optimize the model's pixel-based state processing. Configured CUDA accelerated GPU environments in Python to drastically reduce training time, yielding an agent capable of independently navigating dynamic in-game obstacles and maximizing scores.
Cultural Fit Analysis
The candidate's project diversity, including deepfake detection, LLM development, and reinforcement learning, shows a broad interest and adaptability within the ML domain. Their participation in competitive programming and freelance work indicates a proactive and self-driven individual. However, the limited professional experience (freelance and internship) and ongoing education suggest a need for mentorship and structured team environments, which might require careful integration into a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through competitive programming and project work. Their experience as a freelance copywriter suggests good communication and project management abilities. The focus on end-to-end system development indicates an operational mindset, capable of taking projects from conception to deployment.