📇 Model card

Model	ish-codes-magic/ishita-pal
Role	Founding Engineer & AI Lead at Storefox.ai, leading the audio-intelligence pipeline that turns raw in-store conversations into insights for retail teams
Intended use	Taking messy real-world signals (noisy audio, pitch-deck PDFs, terabytes of logs) and building LLM systems around them that are evaluated, cheap to run, and trustworthy
Pre-training	Research at DESY, CERN and IISER Pune → face recognition at scale at Coriolis → LLM hiring platforms and real-estate chatbots at Hashkraft
Evals	80% accuracy across insight-generation tasks for 15+ retail clients · audio pipeline made 2× faster and 5× cheaper ($100 → $20 per audio-hour)
Alignment	Whitebox Research AI Safety Fellowship: interpretability and chain-of-thought faithfulness
Known limitations	Reads books, listens to music, and still wonders when AI will take my job

🧪 Selected work

Project	What it does	Built with
self-recognition-replication	Replicates LLM Evaluators Recognize and Favor Their Own Generations. GPT-4.1-nano picked out its own summaries 92–96% of the time and preferred them 99% of the time.	OpenAI API, logprobs
transformer_from_scratch	Attention Is All You Need with every component hand-built in PyTorch, trained for English → French translation	PyTorch, HF Tokenizers
IPO-Readiness-PDF-Analyzer	Reads SME pitch decks with a vision LLM, scores them on 8 IPO-readiness criteria and writes up the risks and gaps	Next.js, FastAPI, Gemini
GPT_art_critique	Upload an artwork, get back a structured critique with per-criterion scores	GPT-4 Vision, Instructor, Streamlit
DESY_Summer_Project	Anomaly detection for DESY's dCache storage system over ~10 TB of transfer telemetry (85% accuracy)	PySpark

🧱 I learn by rebuilding things from scratch: LLM internals (attention, tokenisers, positional embeddings, GPT) · CV models · ML algorithms · AlexNet · VGGNet · BPE tokenizer

✍️ Latest on Medium

• Gradient Descent Algorithm: How Does it Work in Machine Learning?
• Intuition behind perceptron: the building blocks of Neural Networks
• 20 Most Asked Interview questions on Python
• Heap sort explained using python
• Webscraping using Scrapy: Creating your first scrapy project

🛠️ Toolbox

Languages & ML
Backend & data
Cloud & infra
LLM tooling	Instructor · Pydantic · Portkey · Hugging Face · OpenAI · Claude · Gemini

📈 GitHub stats

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>>> ishita.generate("Can we work together?")
'Yes! LinkedIn or email are the fastest ways to reach me.'