ML Engineer • AIML Researcher • Web Developer
/ portfolio / linkedin / email / x /
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.
| Category | Technologies |
|---|---|
| Languages |  Python  Java  C++  SQL  JavaScript  HTML5  CSS3 |
| Libraries & Frameworks |  Scikit-learn  PyTorch  Pandas  NumPy  XGBoost  Flask  FastAPI  React  OpenAI |
| Tools & Platforms |  Amazon AWS  Streamlit  Git  Jupyter  Power BI  Docker |
| Period | Role | Company | Highlights |
|---|---|---|---|
| Jul 2026 – Present | Scholar at Amazon MLSS | 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. |
| Jul 2026 – Aug 2026 | Data Analytics Intern | OASIS INFOBYTE (AICTE OIB-SIP) | Leveraged Python, Pandas, and Scikit-learn to engineer data pipelines, perform exploratory data analysis, and build predictive models for real-world business datasets. |
| Jan 2026 - Feb 2026 | Blockchain Risk Developer | Zetheta Algorithms Private Limited | Engineered a vulnerability scanner for Solidity contracts to detect critical flaws like Reentrancy and Access Control. |
| July 2025 - Sept 2025 | Open-Source Contributor | GSSoc '25 | Resolved bugs and integrated new feature modules across 4 open-source repositories via GitHub. |
class Anushka:
def __init__(self):
self.name = "Anushka"
self.role = "ML/DL Engineer & AIML Researcher"
self.location = "India"
self.languages = ["Python", "Java", "C++", "JavaScript", "SQL"]
self.interests = ["Sovereign AI", "Deepfake Detection", "LLM Fine-tuning", "Edge Inference"]
self.communities = ["Google WTM", "IEEE RA-TC-MLA", "NVIDIA Dev Community"]
def current_focus(self):
return [
"Exploring quantized LLM deployment on edge hardware",
"Researching multimodal deepfake detection pipelines",
"Building blockchain smart contract security tooling",
"Contributing to open-source AI/ML projects",
]
def fun_fact(self):
return "I debug faster with lo-fi music playing 🎵"
me = Anushka()
print(me.current_focus())
