---
title: "Ishita Pal - Founding Engineer and AI Lead in Hyderabad | Tal"
description: "Meet Ishita Pal, Founding AI engineer at Storefox.ai | Building LLM powered application | Multimodal LLM | AI | NLP | Computer vision | MLops | Prompt Engineering based in Hyderabad. AI stack includes claude code, codex, and cursor. Explore public work links including github and ishita-codes-ai.in."
image: "https://tal.club/meet/ishita-pal/share-image"
---

# Ishita Pal on Tal

## Headline

Founding AI engineer at Storefox\.ai \| Building LLM powered application \| Multimodal LLM \| AI \| NLP \| Computer vision \| MLops \| Prompt Engineering

## About

🚀 Data Scientist \| AI Innovator \| Freelance AI Consultant As a seasoned Data Scientist with over three years of experience leading high\-impact AI projects, I am adept at leveraging advanced methodologies to tackle real\-world challenges\. I enjoy ML research and solving high impact problems for startups and enterprises Key skills: Python, LLMs, Chatbot, AWS, Kubernetes, Docker, Apache Spark, Apache Kafka, Elasticsearch, REST APIs, Big Data, SQL\.

## Location

Hyderabad

## AI stack

claude code

codex

cursor

gemini

openai

claudecode

## Work experience

Founding Engineer and AI Lead at Storefox\.ai, Aug 2024 \- Present · 2 yrs 1 mo, Bengaluru, • Led the end\-to\-end design and implementation of a scalable audio processing pipeline for analyzing customer\-representative interactions in retail environments, delivering actionable insights to drive business performance in physical stores\. • Developed a robust system where raw audio is captured and cleaned using Silero Voice Activity\. • Detection \(VAD\) to remove silent segments, followed by transcription via Gemini LLM models optimized for noisy retail settings\. • Designed a two\-tiered processing architecture: internal clips were filtered and categorized using LLMs, while external clips were further analyzed to generate structured insights tailored to client needs\. • Instrumental in the development, testing, and validation of each pipeline component—built custom evaluation datasets and benchmarks to compare model performance, prompts, and filtering strategies\. • Achieved a consistent 80% accuracy across all insight\-generation tasks, earning positive feedback from over 15 active clients\. • Reduced audio processing time by 50% \(from 3 minutes to 1\.5 minutes\) and cut cost per hour of audio from $100 to $20, enabling the introduction of multiple pricing tiers for scalability\. • Acted as the technical lead and manager for 4 interns, guiding their workstreams and significantly improving team productivity through structured task delegation and mentoring\. • Worked closely with clients to understand domain\-specific needs and customized the pipeline accordingly, resulting in high client satisfaction and successful adoption across diverse use cases\. • Collaborated cross\-functionally with product, frontend, and backend engineering teams to align development with business goals, effectively multitasking across responsibilities and delivering high\-impact results\.

Lead Data Scientist at Hashkraft, Jun 2023 \- Sep 2024 · 1 yr 4 mos, Hyderabad, Telangana, India, • Developed a scalable AI\-driven hiring platform that streamlined candidate evaluation, matching, and communication, with an estimated 50% reduction in hiring time through automation and intelligent retrieval\. • Leveraged cutting\-edge LLMs \(GPT\-4\) alongside Retrieval\-Augmented Generation \(RAG\) pipelines using LangChain, integrating with Chroma vector database to enable real\-time semantic candidate\-job matching\. • Conducted detailed benchmarking and evaluations of different LLM configurations, embeddings, and RAG architectures to optimize cost, latency, and accuracy\. • Led the design and deployment of an AI\-based real estate chatbot, allowing users to search, query, and retrieve property listings using natural language\. • Utilized GPT\-4 for conversational context handling and Elasticsearch for fast and accurate property data retrieval across diverse queries\. • Designed the entire system architecture, ensuring efficient state management, query parsing, and document retrieval, resulting in highly responsive and accurate user interactions\. • Deployed the chatbot to production using AWS services \(EC2, S3, Lambda\), ensuring scalability, security, and uptime\. • Managed and mentored a team of two interns, overseeing their project pipelines, providing code reviews, and ensuring timely deliverables aligned with business goals\. • Set up project tracking, documentation workflows, and weekly syncs, improving team collaboration and technical output\. • Drove cross\-functional collaboration between backend, frontend, and product teams to ensure seamless integration and user experience\.

Member Of Technical Staff, Intern at Coriolis Technologies Pvt\. Ltd\., Jun 2022 \- May 2023 · 1 yr, Pune, Maharashtra, India, • Developed an AI surveillance system that can track people in our office premises\. • Deployed face recognition algorithms with an accuracy of 75% on Spark\. • Optimised object detection on spark increasing processing speed from 16 to 30 frames/s\. • Improved the loading time of the UI reducing it from 1\-2 minutes to 15 seconds\. • Developed a scalable and fault\-tolerant system that can process 60 million images per day by deploying it on Kubernetes • Automated the entire process of setting up our Kubernetes cluster using Ansible, reducing the deployment time from 3 hours to 15 minutes\. • Managed a team of 7 full time interns working on 4 different projects, overseeing their onboarding and mentoring, increasing the productivity of the entire team by 13%

Research Assistant at Indian Institute of Science Education and Research \(IISER\), Pune, Jan 2022 \- Apr 2022 · 4 mos, Pune, Maharashtra, India, • Explored and evaluated various clustering algorithms to identify the most effective method for analyzing epigenetic data\. • Developed and tested implementation pipelines for algorithms including K\-Means, DBSCAN, Hierarchical Clustering, and others using Python and scikit\-learn\. • Designed sample test cases and applied clustering techniques to biological datasets, comparing results across algorithms for accuracy and reliability\. • Assessed clustering quality using metrics such as the elbow method, silhouette score, and intra\-cluster distance to determine optimal performance\. • Gained experience in unsupervised machine learning, data preprocessing, and applying statistical metrics to real\-world scientific datasets\.

Research Assistant at University of Glasgow, Sep 2021 \- Oct 2021 · 2 mos, Scotland, United Kingdom, • Worked on a research\-oriented project exploring how neural networks can be used to probe Effective Field Theory \(EFT\) couplings, inspired by the ATLAS experiment and the paper "Parameterized Machine Learning for High\-Energy Physics"\. • Processed simulated event\-level datasets using NumPy and Pandas, followed by exploratory data analysis \(EDA\) to understand feature distributions and parameter dependencies\. • Developed and trained a parameterized neural network that incorporates both event features and physics parameters as inputs, enabling smooth interpolation across different EFT coupling values\. • This project strengthened my knowledge of machine learning in high\-energy physics, EFT parameterization, and designing neural networks that generalize over a range of theoretical parameters\.

## Education

BS\-MS, Data Science, Indian Institute of Science Education and Research \(IISER\), Pune

## Public links

- github: https://github\.com/ish\-codes\-magic
- ishita\-codes\-ai\.in: https://www\.ishita\-codes\-ai\.in/

[View the original profile](https://tal.club/meet/ishita-pal)

```json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Person",
      "@id": "https://tal.club/meet/ishita-pal#person",
      "name": "Ishita Pal",
      "url": "https://tal.club/meet/ishita-pal",
      "image": "https://tal.club/meet/ishita-pal/profile-photo.jpg",
      "description": "Meet Ishita Pal, Founding AI engineer at Storefox.ai | Building LLM powered application | Multimodal LLM | AI | NLP | Computer vision | MLops | Prompt Engineering based in Hyderabad. AI stack includes claude code, codex, and cursor. Explore public work links including github and ishita-codes-ai.in.",
      "jobTitle": "Founding Engineer and AI Lead",
      "worksFor": {
        "@type": "Organization",
        "name": "Storefox.ai"
      },
      "hasOccupation": {
        "@type": "Occupation",
        "name": "Founding Engineer and AI Lead"
      },
      "homeLocation": {
        "@type": "Place",
        "name": "Hyderabad"
      },
      "alumniOf": [
        {
          "@type": "EducationalOrganization",
          "name": "Indian Institute of Science Education and Research (IISER), Pune"
        }
      ],
      "knowsAbout": [
        "claude code",
        "codex",
        "cursor",
        "gemini",
        "openai",
        "claudecode"
      ],
      "sameAs": [
        "https://github.com/ish-codes-magic",
        "https://www.ishita-codes-ai.in/"
      ],
      "mainEntityOfPage": {
        "@id": "https://tal.club/meet/ishita-pal#webpage"
      }
    },
    {
      "@type": "ProfilePage",
      "@id": "https://tal.club/meet/ishita-pal#webpage",
      "url": "https://tal.club/meet/ishita-pal",
      "name": "Ishita Pal on Tal",
      "description": "Meet Ishita Pal, Founding AI engineer at Storefox.ai | Building LLM powered application | Multimodal LLM | AI | NLP | Computer vision | MLops | Prompt Engineering based in Hyderabad. AI stack includes claude code, codex, and cursor. Explore public work links including github and ishita-codes-ai.in.",
      "dateModified": "2026-10-25T21:25:27.905Z",
      "isPartOf": {
        "@id": "https://tal.club/#website"
      },
      "mainEntity": {
        "@id": "https://tal.club/meet/ishita-pal#person"
      },
      "primaryImageOfPage": {
        "@type": "ImageObject",
        "url": "https://tal.club/meet/ishita-pal/profile-photo.jpg",
        "contentUrl": "https://tal.club/meet/ishita-pal/profile-photo.jpg",
        "caption": "Ishita Pal profile photo on Tal"
      },
      "inLanguage": "en-IN"
    }
  ]
}
```