ankushgpta2,Ankush Gupta ,github

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`About Me` 😄

My Background:
- 🤖 Former Visting Researcher @ UMD CS (Neuromorphic Deep Vision in Robotics)
- 🧠 Former Neuroscience Researcher @ NIH (Comp Neuro + Physics) and VCU SOM (Biophysics)
- ⚛️ Former Nanotechnology Researcher @ Johns Hopkins Sidney Kimmel Cancer Center
Current Endeavors:
- 💻 Lead Data Scientist @ Deloitte Consulting LLP (Fed Health, Quantum Computing, AI/ML Research)
- ✏️ Graduate Student @ UPENN in Computer Science & Data Science
In My Free Time:
- 🐶 Spending Time with My Two Dogs (Protugese Waterdog and Mini-Bernedoodle)
- 📚 Writing About + Doing Research Formally in Other Related Areas (Philosophy, Psychology, Math, Finance, Physics)
- 👪 Spending Time with Family and Friends

`Some of My Skills` 🛠️

Languages + Frameworks	Cloud + Container	CLI

Not Shown:

Groovy
C/C++
Go
Nextflow and Nextflow Tower
Spark/PySpark
Hadoop
Kubernetes
Django
Flask
Singularity
HPC

`Stats` 📊

📈 More Stats:

Ankush Gupta 's Projects

2photonprocessor

Code for Important Processing Steps For .Tiff or .Raw Video Files Acquired From 2-Photon Imaging System + Completely Automated and With NWB Schema (.HDF5) Capability

analyze-avalanche-vz2.3

Introductory Code For Doing Simple Avalanche Analysis (Criticality In The Brain) Mainly Through Power Law Analysis In Log-Log Space and Temporal Coarse Graining (K)

find_my_images_v1.01

Deep Neural Net For Finding Similar Images With Hyperparameter Optimization + AWS And Azure GPU Capabilities

marketsim

Application Source Code for Learning and Generating Artificial Stock Market Dynamics

:page_facing_up: --> :speaker: (1) Cronjob Webscraper Finds Trending Papers (paperswithcode.com). Saves It and Generates Text Message Notification. (2) Generates a Pocdast and Summary via OpenAI's ChatGPT and Tortoise-tts

quantum_nlp

Benchmarking Quantum Computing Based ML Algorithms (LAMBEQ) Against Classical LSTM and Hugging Face Based Transformer on a Variety of NLP Tasks

random_stochastic_network

Generate a Random Network Consisting of 100 Nodes In-Terms of Connectivity Layout and Information Propagation + Analysis of Information I/O

tostadas

🧬 💻 TOSTADAS → Toolkit for Open Sequence Triage, Annotation and DAtabase Submission

vision2deepmanifold

Pipeline Consisting of LSTM + Variational and Transformer Based Autoencoders + PCA/UMAP (Parameterized and Non-Parameterized) For Generating Low-Dim Manifold Representation of V1 Neural Activity

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