raminaeye.github.io/cv.html at main · raminaeye/raminaeye.github.io · GitHub

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    <title>Extended CV</title>
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        <a href="index">Home</a>
    </nav>
    <div class="cv-container">
        <div class="section">
            <h2>Summary</h2>
            <p>Highly accomplished Staff Machine Learning Scientist with extensive experience in developing and deploying cutting-edge AI solutions across healthcare, neuroscience, consumer search, and audio technology. Proven expertise in foundation models, multimodal AI, search and recommendation systems, natural language processing, audio/speech processing, and MLOps. Demonstrates a consistent trajectory of growth, technical leadership, and impactful contributions, including significant improvements to large-scale user-facing products and pioneering novel AI applications. Possesses a strong record of innovation, highlighted by multiple granted and pending patents, and a commitment to continuous learning in the rapidly evolving AI landscape.</p>
        </div>

        <div class="section">
            <h2>Skills</h2>
            <ul>
                <li><span class="skills-category">Deep Learning Frameworks:</span> PyTorch, TensorFlow, Keras, TFLite, Scikit-learn, Hugging Face</li>
                <li><span class="skills-category">Foundation & Multimodal AI:</span> Classical ML, BERT, GPT, Reinforcement Learning, Llama, AudioLM, Vision Transformer (ViT, Swin, ViViT), EfficientNet, Flamingo, Whisper, Audio Spectrogram Transformer, Audio Tokenizers (EnCodec, SoundStream), Wav2Vec, Conformer, YamNet</li>
                <li><span class="skills-category">Search & Recommendation:</span> Retrieval Augmented Generation (RAG), Vectorized Search, Entity Recognition, Query Understanding, Recommendation Systems</li>
                <li><span class="skills-category">Model Optimization:</span> Self-supervised and Contrastive Learning, LoRA, Few-shot Learning, Prompt Engineering & Instruction Fine-tuning, Quantization, Knowledge Distillation, Pruning, Neural Architecture Search (NAS)</li>
                <li><span class="skills-category">Audio & Speech Processing:</span> Signal Processing, Blind Source Separation (NMF), Dereverberation, Denoising, Feature Engineering, 3D Audio, Automatic Speech Recognition (ASR), Speech Synthesis, Speech-to-Speech Translation</li>
                <li><span class="skills-category">MLOps & Deployment:</span> AWS (S3, EC2, SageMaker Pipelines), MLFlow, Flask, FastAPI, GitHub Actions, Docker, Optuna</li>
            </ul>
        </div>

        <div class="section">
            <h2>Experience</h2>
            <div class="job">
                <span class="dates">November 2023 – Present</span>
                <div class="job-title">Staff Machine Learning Scientist</div>
                <div class="company-location">Precision Neuroscience | New York, NY</div>
                <ul>
                    <li>Implemented a novel transformer-based multitask foundation model from ECoG data, pretrained using a self-supervised contrastive objective and fine-tuned for high-quality embeddings.</li>
                    <li>Built scalable, reusable machine learning and signal processing pipelines for terabyte-scale, high-dimensional time-series data.</li>
                    <li>Fine-tuned state-of-the-art ASR models for annotating speech in operating rooms and aligning with neural data.</li>
                    <li>Developed model interpretability tools using saliency and attention maps to assess electrode contributions.</li>
                    <li>Achieved 24x model latency optimization on NVIDIA Orin Nano while maintaining performance, leveraging neural architecture search and quantization.</li>
                    <li>Developed real-time few-shot inference models for hand gesture classification from motor cortex activity (85% F1 score) and real-time cursor control regression (79% R²).</li>
                </ul>
            </div>
            <div class="job">
                <span class="dates">January 2021 – October 2023</span>
                <div class="job-title">Sr Principal ML Engineer</div>
                <div class="company-location">United HealthGroup | San Meteo, CA</div>
                <ul>
                    <li>Led a team of data and ML engineers to develop, launch, and maintain text understanding models for consumer search products, serving 40 million active members.</li>
                    <li>Created AI-powered search tools resulting in a 5x increase in click-through rates and user satisfaction (A/B tested).</li>
                    <li>Developed and maintained multilingual auto-correct (character-level bidirectional LSTMs, N-grams) and auto-complete/suggest algorithms (FSTs, fine-tuned GPT-2 for healthcare).</li>
                    <li>Pre-trained and fine-tuned encoders (BERT, RoBERTa, DistillBERT) for sentence embeddings, enabling vectorized search and entity recognition.</li>
                    <li>Benchmarked ASR models (wav2vec 2.0, NVIDIA NeMo) and deployed conversational AI agents (T5 for summarization, call routing).</li>
                </ul>
            </div>
            <div class="job">
                <span class="dates">April 2018 – January 2021</span>
                <div class="job-title">Machine Learning Scientist</div>
                <div class="company-location">CurieAI | Menlo Park, CA</div>
                <ul>
                    <li>Developed novel hybrid on-device and cloud audio understanding models for monitoring chronic respiratory diseases, achieving an 80% increase in recall and 86% improvement in precision over existing licensed models.</li>
                    <li>Spearheaded complete machine learning lifecycles: data collection, annotation, signal processing, continuous model training, and deployment.</li>
                    <li>Developed an AI-driven course of action recommendation system; contributed to investor pitch decks, securing funding.</li>
                </ul>
            </div>
            <div class="job">
                <span class="dates">September 2017 – April 2018</span>
                <div class="job-title">Algorithm Engineer</div>
                <div class="company-location">DSP Concepts | Santa Clara, CA</div>
                <ul>
                    <li>Engineered noise reduction and dereverberation algorithms for improving wake-word detection on smart speakers.</li>
                    <li>Automated testing protocols for audio algorithms across various acoustic conditions.</li>
                </ul>
            </div>
            <div class="job">
                <span class="dates">September 2016 – September 2017</span>
                <div class="job-title">Audio Engineer</div>
                <div class="company-location">Dolby Labs | San Francisco, CA</div>
                <ul>
                    <li>Developed an automated system for detecting infringements of Dolby audio codecs.</li>
                    <li>Delivered expert tutorials and white papers on cutting-edge audio processing and deep learning to senior executives.</li>
                    <li>Managed extensive patent portfolio, drafting claims and responding to office actions.</li>
                </ul>
            </div>
             <p><strong>Prior Roles:</strong> Adobe (Audio editing), GN-ReSound (Hearing aids), Advanced Digital Science Center (Microphone arrays, Singapore)</p>
        </div>

        <div class="section">
            <h2>Education</h2>
            <div class="education-entry">
                <span class="dates">August 2011 – December 2016</span>
                <div class="job-title">University of Illinois at Urbana-Champaign | Urbana-Champaign, IL</div>
                <div>M.S., Electrical & Computer Engineering (GPA: 3.97/4.00)</div>
                <div>B.S., Electrical & Computer Engineering (GPA: 3.86/4.00)</div>
            </div>
        </div>

        <div class="section">
            <h2>Patents</h2>
            <h3>Granted:</h3>
            <ul class="patent-list">
                <li>Sound Enhancement through Reverberation Matching</li>
                <li>Methods for Explainability of Deep-Learning Models (US10706329B2)</li>
                <li>Intelligent Health Monitoring</li>
                <li>Design of Stimuli for Symptom Detection</li>
            </ul>
            <h3>Pending:</h3>
            <ul class="patent-list">
                <li>Domain aware autocomplete</li>
                <li>Graph-based data compliance using natural language text</li>
                <li>Interactive map-based visualization system related to multichannel search for complex search domains</li>
                <li>Machine learning techniques for generating domain-aware query expansions</li>
                <li>Multi-channel search and aggregated scoring techniques for complex search domains</li>
                <li>Text embedding-based search taxonomy generation and intelligent refinement</li>
            </ul>
        </div>

        <div class="section">
            <h2>Publications & Presentations</h2>
            <ul>
                <li>Authored and presented on topics including: Attention Mechanisms, ChatGPT & Large Language Models (Bard), 3D Audio, Sound Source Localization, Model Optimization, Example-Based Audio Editing (Convolutional NMF), Computer Vision for Speech Enhancement, and Quantization.</li>
                <li>Multiple presentations and documents available via Slideshare covering recommender systems, beamforming, microphone arrays, and advanced audio processing techniques.</li>
                <li><em>(Further details available via Google Scholar profile and personal website)</em></li>
            </ul>
        </div>

        <div class="section">
            <h2>Certifications</h2>
            <ul class="patent-list">
                <li class="certification-entry">Udacity Nanodegree: Generative AI (2025)</li>
                <li class="certification-entry">Udacity Nanodegree: Deep Reinforcement Learning (2023)</li>
                <li class="certification-entry">Udacity Nanodegree: ML DevOps Engineer (2022)</li>
                <li class="certification-entry">Udacity Nanodegree: NLP (2021)</li>
            </ul>
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