Ankith@portfolio — zsh
whoami
name : "Ankith"
role : "Aspiring Data & AI Engineer"
status : "open_to_opportunities"
cat interests.json
[ "AI Systems", "ML Pipelines", "Security", "Data Eng", "Cloud" ]

Hi, I'm
Ankith.

Aspiring Data & AI Engineer — turning raw data into intelligent systems.

View projects Get in touch
5+
Projects
3+
ML Models
3+
Yrs Study
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01.

about_me

I'm Ankith, an aspiring Data & AI Engineer passionate about building scalable systems that transform complex data into intelligent solutions.

My work sits at the intersection of data engineering, machine learning, and LLM applications. I enjoy working across the full ML lifecycle — from data ingestion and feature engineering to deployment and monitoring in production.

I'm constantly exploring modern AI techniques, including RAG pipelines, fine-tuning, vector databases, and AI agents, while also focusing on cloud engineering and building secure, scalable architectures.

I enjoy developing computer vision and large language models, and I believe impactful AI systems are built on strong data engineering and security-first design.

Currently seeking opportunities to contribute to cutting-edge data, AI, and cloud systems while continuing to grow as an engineer.

Ankith.py PYTHON
class Ankith:
  def __init__(self):
    self.role = "Data & AI Engineer"
    self.languages = ["Python", "SQL", "Rust"]
    self.interests = {
      "data": "pipelines & warehousing",
      "ml": "training & deployment",
      "ai": "LLMs & computer vision systems"
      "security": "Log Analysis & Threat Intelligence"
    }
    self.available = True # hire me!

  def coffee_level(self):
    return float("inf")
02.

projects

01
CARLA Computer Vision

End-to-end retrieval-augmented generation system that indexes documents into a vector store and answers natural language queries with cited sources. Built with LangChain, ChromaDB, and OpenAI.

Computer Vision PyTorch Image Classification CNNs
02
AQI Dashboard

Real-time air quality monitoring dashboard displaying AQI levels, pollutant concentrations, and forecasting information across locations

AWS Databricks Spark Grafana
03
NBA Shot Analysis Dashboard

Interactive Dashboard to analyze NBA Shot Selection and Success Rates over the last 30 seasons.

Machine Learning Pandas Matplotlib Plotly
04
F1 Race Analysis

A dashboard to analyze drivers and their performance across different races from the last decade.

PyTorch HuggingFace Streamlit SHAP
03.

skills

Data Engineering
Python
SQL / dbt
Apache
Kafka
Airflow
BigQuery / Snowflake
AI / Machine Learning
PyTorch / TensorFlow
HuggingFace
LangChain / LlamaIndex
Scikit-learn
Vector DBs
MLflow / W&B
Infrastructure & Tools
Docker / Kubernetes
AWS/Azure/GCP
Git / CI/CD
FastAPI / Flask
Agile
Linux / Bash
04.

resume

📄

View Resume

Full copy of my resume covering education, projects, technical skills, and experience.

2025 — Present
M.Sc. in Computer Science
University of Connecticut
2021 — 2025
B.Sc. in Computer Science
University of Connecticut
Focused on machine learning, data systems, and AI. Key coursework: Machine Learning, Data Science, Algorithms
2024 - 2025 (Senior Capstone Project)
Machine Learning Engineering Intern
Pratt and Whitney
Developed a machine learning model for predictive maintenance of engines.
Summer 2024
Software Engineering Intern
Optum
Developed a Fullstack Dashboard for Internal Employee Requisition Management & created ETL pipelines for data management across the organization.
Summer 2023
Data Science Intern
Convergence Inc
Assisted in creating an automated system to filter out duplicate entries of financial data
Certifications
Certifications
Azure · AWS · Google · DeepLearning.AI
Certified: DP-900 Azure Data Fundamentals
Ongoing: Azure AI Fundamentals · AWS Developer Associate · AWS Machine Learning Specialty · Cisco CCNA

Let's
build
something.

Open to full-time roles, internships, and interesting projects in data engineering and AI. I reply fast.