Skip to content
View Ishaan-Ansari's full-sized avatar
🎯
Focusing
🎯
Focusing
1 follower · 7 following

Achievements

Achievement: Quickdraw

Achievements

Achievement: Quickdraw

Block or report Ishaan-Ansari

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Ishaan-Ansari/README.md

Hi , I'm Ishaan

A little bit about me:

I'm a Machine Learning Engineer working at the intersection of computer vision and large language models.

My approach to building AI systems

def architect_ai_system(business_requirements):
    """
    Lessons from shipping AI to production:
    1. Start with the data pipeline (garbage in, garbage out)
    2. Vector databases are the new relational databases
    3. Prompt engineering is systematic, not magic
    4. Always have a fallback to traditional algorithms
    5. Monitor for drift, hallucinations, and edge cases
    """
    if requires_compliance():
        return multi_layer_validation() + audit_trails()
    elif requires_scale():
        return async_processing() + caching_layers()
    return simple_and_maintainable()

What I’m currently on

  • Implementing papers and novel architectures
  • Diving deeper into foundational concepts
  • Focusing on backend systems and LLMOps
  • Building some cool ML projects

Connect With Me

Let's build something amazing together.

Pinned Loading

  1. Data-Structures-and-Algorithms Data-Structures-and-Algorithms Public

    Dedicated repo for all algorithmic problems I tackle, serving as a comprehensive resource for my journey in mastering data structures and algorithms

    Python

  2. Deep-Learning-from-scratch Deep-Learning-from-scratch Public

    Implementing deep learning architectures from scratch

    Jupyter Notebook

  3. Finetuning-LLMs Finetuning-LLMs Public

    Workflows for fine-tuning various Large Language Models (LLMs) on task-specific datasets

    Jupyter Notebook

  4. LLM-from-scratch LLM-from-scratch Public

    Implemented LLM from Scratch

  5. ML-from-scratch ML-from-scratch Public

    In this project we will implement ML algorithms from scratch in Python

    Python

  6. DeepSeek-from-Scratch DeepSeek-from-Scratch Public

    This repository contains an ongoing implementation of DeepSeek from scratch. Currently, it focuses on building core components such as Multi-Head Latent Attention (MLA) — a memory-efficient alterna…