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anushkadas-coder (anushka ✩) · GitHub

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anushkadas-coder/README.md

anushka.sys

ML Engineer • AIML Researcher • Web Developer

/   portfolio   /   linkedin   /   email   /   x   /

I'm a Software and ML Engineer building intelligent systems and full-stack AI applications that solve real-world problems. With hands-on experience in web dev, I'm an Amazon ML Summer School (MLSS)'26 Scholar, selected for Stanford's Code in Place'26, a 3-time hackathon winner and the author of 2 research papers in applied AI/ML. I'm an active member of Google's Women Techmakers and IEEE Robotics and Automation Society on ML and NVIDIA Developer Community.

Visit my portfolio here! :)

Experience

Founding Engineer at SF-based Startup (Aug 2026 – Present)
contributing to performance optimizations, scalable component systems and accessibility improvements to enhance user experiences.
Scholar at Amazon ML Summer School 2026
Gaining hands-on knowledge in advanced ML, Deep Learning, Generative AI, and LLMs through sessions led by Amazon research scientists.
ML Intern at FlyRank AI Startup (Jul 2026 – Sept 2026)
Implementing advanced feature engineering techniques, including TF-IDF and word representations, to extract highly predictive signals from raw dataset inputs.
Data Analytics Intern at OASIS INFOBYTE (AICTE OIB-SIP) (Jul 2026 – Aug 2026)
Leveraged Python, Pandas, and Scikit-learn to engineer data pipelines, perform exploratory data analysis, and build predictive models for real-world business datasets.
Blockchain Risk Developer at Zetheta Algorithms Private Limited (Jan 2026 – Mar 2026)
Engineered a vulnerability scanner for Solidity contracts to detect critical flaws like Reentrancy and Access Control.
Open-Source Contributor at GSSoc '25 (July 2025 – Sept 2025)
Resolved bugs and integrated new feature modules across 4 open-source repositories via GitHub.

Research & Publications

Architectural Paradigms for Sovereign AI: Mitigating API Fragility through Quantized Low-Rank Adaptation and 1.58-bit Ternary Models | Officially lived on SSRN | Read Paper
Isolating Synthetic Fingerprints: A Frequency-Domain Approach to Robust Deepfake Detection using 2D FFT and Lightweight CNNs | Read Paper

When I'm not coding, you'll probably find me drawing, winning debates, reading manga, or strumming guitars every once in a while. I'm a living proof that a human can function with black coffee as their primary blood type. My interests naturally gravitate toward anything that adds to the growing body of Human Knowledge.

sayonara!🌸

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  1. Customer-Churn-Prediction Customer-Churn-Prediction Public

    An end-to-end project to predict customer churn using Python and XGBoost. Identifies key attrition drivers through data analysis and predictive modeling to provide actionable business insights.

    Python 1

  2. deweathering-engine deweathering-engine Public

    A document restoration engine using Robust PCA (RPCA) to separate sparse text matrices from low-rank background noise. Built with FastAPI and React.

    JavaScript 1

  3. deepfake-detection-engine deepfake-detection-engine Public

    Neural Authenticity Engine: A full-stack deep learning pipeline identifying synthetic media via spectral fingerprinting and 2D FFT. Built with PyTorch (ResNet-18), it features a Gaussian-denoised i…

    Python 1

  4. Federated_Fresh Federated_Fresh Public

    A high-performance, multi-modal AI Terminal featuring Local RAG (ChromaDB), real-time Web Search integration, and Google Gemini 2.5 Flash reasoning. Optimized for low-memory (512MB RAM) cloud deplo…

    Python 1

  5. DCO6_synthesizer DCO6_synthesizer Public

    A 6-voice polyphonic VST3 synthesizer built from scratch in C++ and the JUCE framework, featuring a 4-pole ladder filter, BBD stereo chorus, and real-time FFT analysis.

    C++ 1

  6. Deep-Reinforcement-Learning-with-Double-Q-Networks-on-Atari-Games Deep-Reinforcement-Learning-with-Double-Q-Networks-on-Atari-Games Public

    This project uses deep RL to train an agent that can play Atari game named Space Invaders.

    Jupyter Notebook 1

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