Pranjal Jaiswal

Data Scientist

Bengaluru, Karnataka, India6 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in developing scalable AI solutions.
Proven track record in NLP and computer vision projects.
Strong foundation in deep learning and data-driven systems.

Stackforce AI infers this person is a skilled AI Engineer specializing in NLP and computer vision for retail and data engineering.

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Skills

Core Skills

Large Language Models (llm)Machine LearningNatural Language Processing (nlp)Computer VisionData Extraction

Other Skills

PythonArtificial Intelligence (AI)Data AnalysisAWSNamed Entity Recognition (NER)Data StructuresProject ManagementStrategic PlanningEngineeringResearchData MiningProgrammingAnalyticsData VisualizationMongoDB

About

I’m a Generative AI Engineer with a strong foundation in deep learning, NLP, and data-driven systems, passionate about building scalable, intelligent products that blend innovation with impact. Currently at Walmart, I’m developing multi-agent LLM orchestration systems that enable real-time automation and smarter device interactions. Over the years, I’ve worked across startups and enterprises, fine-tuning large language models like Codellama and GPT-3.5, optimising retrieval-augmented generation (RAG) pipelines with Pinecone, and deploying contextual search systems (ColBERT) that significantly improve accuracy and efficiency. My expertise lies at the intersection of machine learning engineering, AI infrastructure, and product innovation, turning complex ideas into scalable, production-grade systems. Previously at TIFIN and Airavana, I built and deployed models for data extraction, NER, and document understanding, automating text, image, and video intelligence across 50+ file types. From designing deep learning microservices to achieving serverless deployments on AWS Lambda, I’ve led initiatives that cut infrastructure costs and boosted system reliability. With a B.Tech from IIT Kanpur, I thrive on solving high-impact problems through creativity, precision, and collaboration.

Experience

Walmart global tech india

Senior Data Scientist

Dec 2024 – Present · 1 yr 3 mos · Bengaluru, Karnataka, India

Built a multi-agent LLM-based chatbot orchestrator for Walmart devices using Google’s MASS framework.
Integrated MIPROv2 with DSPy to improve agent coordination and automation.
Enabled real-time device control and insights, significantly reducing manual effort.

Large Language Models (LLM)PythonMachine LearningArtificial Intelligence (AI)

Tifin

NLP Engineer

Aug 2023 – Dec 2024 · 1 yr 4 mos · Bengaluru, Karnataka, India

Fine-tuned Codellama 13B and GPT-3.5-Turbo for SQL and function generation.
Built RAG pipelines using Pinecone and improved retrieval accuracy.
Implemented ColBERT search for enhanced semantic retrieval.
Developed Conversational Agent (RAISE) powered by LLMs.
Applied prompt engineering with LangChain for structured outputs.

Natural Language Processing (NLP)PythonMachine LearningData Analysis

Airavana, inc.

2 roles

Data Scientist

Promoted

Aug 2022 – Aug 2023 · 1 yr

Worked on NLP and Computer Vision problems. Worked on object detection in images and videos. Developed end-to-end pipeline for deployment on production

Computer VisionNatural Language Processing (NLP)PythonAWS

Data Engineer

Aug 2021 – Aug 2022 · 1 yr

Innoplexus

Associate Software Engineer

Jun 2019 – Aug 2021 · 2 yrs 2 mos · Pune/Pimpri-Chinchwad Area

Worked in Data Engineering Team with specialization in Data Extraction & Data Scraping. Worked on different ML models to extract data. Also used Named Entity Recognition (NER) with NLTK and SpaCy for different projects and worked on BERT Model for text classifications.
Developed Universal Python Crawler which can handle both dynamic and static websites which is more efficient in core consumption and 10x faster than open-source scrapper.

Data ExtractionMachine LearningNamed Entity Recognition (NER)

Innsep as

Summer Intern

May 2018 – Jul 2018 · 2 mos · Trondheim, Trøndelag, Norway

I have done an intern at INNSep (Norway) in which I developed the graphical analysis App which could extract knowledge from massive experiment data through the noise filtering, data pre-processing and data visualization.