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AL.

HYDERABAD · AI/ML & FULL-STACK

Annaram Lohith

Building practical AI.
Crafting thoughtful software.

I’m Annaram Lohith, a CSE AI & ML student building across machine learning, backend systems, and full-stack web development.

Explore my work GitHub

Featured · Hackathon

GharTak

Digital khata for kirana stores. Built at VentureX, IIT Dhanbad.

Focus

AI / ML
+ APIs

Education

MRDU · B.Tech
IIT Madras · BS DS

Selected work

Things I’ve built.

GharTak

A digital khata/udhar management project for kirana stores, built at the VentureX Hackathon at IIT Dhanbad.

The repository documents a WhatsApp-first workflow, voice-note transaction logging, digital repayments, and ledger management.

  • FastAPI
  • SQLAlchemy
  • PostgreSQL
  • Docker
View repository for GharTak

CorMetrics

An educational cardiovascular-risk prediction project combining a web interface with a Python machine-learning backend.

Educational project — not clinically validated.

  • Next.js
  • Tailwind CSS
  • FastAPI
  • scikit-learn
View repository for CorMetrics

SpotifyIQ

A music recommendation and analytics project using K-Means clustering and cosine similarity on a Spotify dataset.

  • React
  • Vite
  • FastAPI
  • Python
View repository for SpotifyIQ

VOCA

A career-guidance project with stage-aware onboarding, recommendations, skill blueprints, and action plans.

  • React
  • TypeScript
  • Next.js
  • Firebase
View repository for VOCA

About

Models are only half the job.

I’m pursuing a B.Tech in CSE with a specialization in AI & ML at Malla Reddy Deemed to Be University, alongside a BS in Data Science and Applications at IIT Madras. My projects connect machine learning, backend APIs, and web interfaces.

Most of my projects sit at that seam: training and evaluating models in Python, then wrapping them in APIs and interfaces with FastAPI and React.

I learn by building. Hackathons, internships, and side projects are where I experiment, break things, and figure out what works.

Education

Malla Reddy Deemed to Be University

B.Tech, Computer Science & Engineering (AI & ML)

In progress · Expected 2029

IIT Madras

BS, Data Science and Applications

Foundation level · Ongoing

Experience

Where I’ve learned.

  1. Apr – May 2026

    Artificial Intelligence Intern

    Corizo Edutech

    • Worked through data preprocessing, EDA, feature engineering, and model training and evaluation using NumPy, Pandas, and scikit-learn.
    • Built CorMetrics, a cardiovascular-risk prediction project, and SpotifyIQ, a music recommendation project.

  2. Feb – Mar 2026

    Machine Learning Intern

    Corizo Edutech

    • Built a stock-price prediction pipeline using Linear Regression and Random Forest on historical price data.
    • Used scikit-learn, Pandas, NumPy, and Jupyter Notebook for analysis, feature preparation, and experimentation.

Skills & tools

Languages
Python · JavaScript · SQL
Web
React · Next.js · HTML · CSS · Tailwind CSS
Backend
FastAPI · SQLAlchemy · API development
AI/ML
scikit-learn · Pandas · NumPy · Jupyter Notebook
Tools
Git · GitHub · VS Code