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snehsuresh/README.md

๐Ÿ‘‹ Hey there

I'm Sneh, a Data Scientist and Software Engineer with 4+ years of hands-on across data science, machine learning, software engineering, and ML/Cybersecurity research. My journey has been a blend of backend engineering, predictive modeling, cloud computing, and LLM robustness research, driven by my curiosity and love for programming, math, and problem-solving.

Currently, I am working as a Graduate Research Assistant, exploring the fascinating intersection of large language models, adversarial robustness, and multimodal learning.

What I'm Currently Exploring

  • Neural Volatility Forecasting - combining time series modeling and deep learning to predict market volatility with higher accuracy.
  • A domain-agnostic chatbot that dynamically adapts to selected domains via generative distilled models.
  • Neuro-Symbolic Reasoning in LLMs - blending symbolic logic with deep learning to improve reasoning and commonsense understanding.
  • Custom loss functions for better multimodal alignment in LLMs.

๐Ÿ’ก What I Do

๐Ÿ”ง Machine Learning & Data Science:

  • Demand Forecasting, Predictive Modeling, and Player Retention Analysis.
  • Building domain-agnostic chatbots with knowledge distillation and hardware-aware adaptation.
  • Enhancing LLM robustness using novel techniques to detect and mitigate backdoor attacks in SOTA LLM models.

๐Ÿ’ป Software Development:

  • Full-stack application development using Python, FastAPI, and React
  • Scalable cloud deployments on AWS (EC2, Lambda, S3, RDS)
  • Backend development focusing on performance optimization and modular design

๐Ÿ”ฌ Research:

  • Multimodal LLMs - building frameworks that dynamically align textual and visual embeddings for coherent contextual understanding
  • Designing novel loss functions for balanced multimodal learning
  • Exploring adversarial robustness and anomaly detection in generative models

๐Ÿ‘จโ€๐Ÿซ Mentoring & Teaching:

  • I love mentoring budding engineers - whether it's Python scripting, backend coding, or building software and machine learning concepts
  • Teaching not only helps others but reinforces my own knowledge. Contact me @snehpillai02@gmail.com

Beyond Tech

When Iโ€™m not being an absolute nerd, youโ€™ll find me:

  • ๐Ÿ Following sports - Wrestling, NBA, cricket, and NASCAR.
  • ๐Ÿ‹๏ธโ€โ™‚ Hitting the gym - Current bests: Bench 250, Squat 330, Deadlift 400.
  • ๐ŸŽฎ Gaming - FPS and strategy games like Titanfall, Halo, and yes - I still enjoy Black Ops 2 like itโ€™s 2012.

Want to collaborate on a cool project? Curious about my research? Or just want to geek out over tech, games, or fitness?
Feel free to drop a message - Iโ€™m always up for conversations!

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  1. AutoML-PipeLineBuilder AutoML-PipeLineBuilder Public

    Python

  2. Crypto-Airflow-GCP-Pipeline Crypto-Airflow-GCP-Pipeline Public

    Python 2

  3. DriftDetectionDashboard DriftDetectionDashboard Public

    Python 1

  4. GraphAugmentedForecasting GraphAugmentedForecasting Public

    Python 2

  5. LatentDriftDetection LatentDriftDetection Public

    Python

  6. Crawl-In-Chat Crawl-In-Chat Public

    Python 3

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