Ishita Pal
Founding AI engineer at Storefox.ai | Building LLM powered application | Multimodal LLM | AI | NLP | Computer vision | MLops | Prompt Engineering
Hyderabad
4+ years of work experience
Aug 20242 yrs 1 moPresent
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.
Jun 20231 yr 4 mosSep 2024
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.
Jun 20221 yrMay 2023
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%
Jan 20224 mosApr 2022
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.
Sep 20212 mosOct 2021
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.
Ishita’s AI Stack
Education
BS-MS, Data Science
Indian Institute of Science Education and Research (IISER), Pune
20185 yrs2023
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