archita@portfolio:~$
vim welcome.txt
//HI MY NAME IS
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Name: Archita Jain
Role: Machine Learning Engineer
Location: SF Bay Area
Status:
archita@portfolio:~$
cd ~/interests
archita@portfolio:~/interests/$
ls -ltr
total 2048
drwxr-xr-x Jun 13 20:13 machine-learning/
drwxr-xr-x Feb 7 18:28 deep-learning/
drwxr-xr-x Mar 14 15:92 neural-networks/
-rw-r--r-- Nov 18 19:98 research-papers.md
-rw-r--r-- Oct 1 19:86 raagas-learned.csv
-rwxr-xr-x Jun 15 20:17 train_model.py
-rw-r--r-- May 5 19:97 README.md
archita@portfolio:~/interests/$
cd ~/connect-with-me
archita@portfolio:~/connect-with-me/$
git status
On branch master
Your branch is up to date with 'origin/master'
Changes to be committed:
(use "git restore --staged <file>..." to unstage)
archita@portfolio:~/about$
open about.png
archita@portfolio:~/about$
cat README.md
I'm a Machine Learning Engineer passionate about building intelligent systems that solve real-world problems. I specialize in deep learning, computer vision, and natural language processing.
My work focuses on developing scalable ML pipelines, optimizing model performance, and translating research into production-ready solutions. I'm particularly fascinated by the intersection of hardware acceleration and neural network efficiency.
Software Engineer, ML Systems
Architecting ML pipelines for retrieval-augmented generation (RAG) from the ground up, with emphasis on scalability, reliability, and bridging the gap between research prototypes and production systems.
Researcher
Conducting research on accelerating deep learning training through adaptive batch selection, designing experiments to evaluate convergence speed, training efficiency, and generalization improvements over uniform sampling for NLP architectures.
Machine Learning & Software Engineer
Designed and implemented the integral architecture for Expedera's online stack, including scheduler, debugger, and profiler tools. Developed unique tensor memory representations to support diverse Deep Learning models (LLMs, U-Net, ResNet) across Expedera's driver and NPU infrastructure.
Master of Science in Computer Science
Specialization in Machine Learning
Languages & Core
Python
C/C++
Java
Bash
SQL
ML & Deep Learning
PyTorch
TensorFlow
Scikit-learn
ONNX
Hugging Face
Keras
Specialized Libraries
TVM
vLLM
SGLang
Pandas
NumPy
Protobuf
Infrastructure & Tools
Docker
Kubernetes
CUDA
PyTorch DDP
Git
Linux
Jupyter