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Himanshu Shukla

Dynamic Programmer Analyst and Data Scientist with a proven track record at Boeing, specializing in Python, FastAPI, and Kubernetes. Excelled in developing the Harmony Framework, enhancing engineering efficiency, and implementing robust security measures. Demonstrated exceptional analytical skills and creativity in anomaly detection and natural language generation at SprigHub. Passionate about leveraging Generative AI and Natural Language Processing to drive innovation and efficiency. Published journal paper in computer vision domain.
  • Role

    Forward Deploy AI Engineer

  • Years of Experience

    5.5 years

Skillsets

  • LoRA
  • Weaviate
  • semantic search
  • Security
  • REST
  • QLoRA
  • Prompt Engineering
  • PostgreSQL
  • Pinecone
  • OpenShift
  • Mixtral
  • Mistral
  • MangoDB
  • Kubernetes - 4 Years
  • Janus
  • GitLab
  • Flask
  • CI/CD
  • Neo4j
  • FastAPI
  • Generative AI
  • anomaly detection
  • LangChain - 2 Years
  • rag - 2.0 Years
  • NLP - 5.0 Years
  • LLM - 4.0 Years

Professional Summary

5.5Years
  • Jul, 2025 - Present 11 months

    AI Engineer

    Lowe's
  • Apr, 2025 - Jul, 2025 3 months

    Data Scientist

    Fractal Analytics
  • Mar, 2021 - Apr, 20254 yr 1 month

    Programmer Analyst 2 (AI/ML)

    Boeing
  • Aug, 2020 - Dec, 2020 4 months

    Data Scientist Intern

    SprigHub

Applications & Tools Known

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    Large Language Model

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    Flask

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    GCP

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    GitLab

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    React

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    Keras

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    MSSQL

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    NLTK

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    OpenCV

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    OpenShift

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    PostgreSQL

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    scikit-learn

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    PyTorch

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    Neo4j

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    NOSQL

Work History

5.5Years

AI Engineer

Lowe's
Jul, 2025 - Present 11 months
    Architected enterprise-grade generative AI solutions integrating MCP tools and agentic frameworks to enable scalable low-code/no-code AI assistants for retail and supply chain workflows. Designed and built a no-code agent orchestration framework within the AI Foundry platform, enabling drag-and-drop creation of complex multi-agent workflows (sequential, parallel, conditional, loop, hybrid). Owned end-to-end delivery finalized UX flows (Figma) and engineered the backend execution engine supporting dynamic workflow composition and runtime agent coordination. Integrated Google A2A protocol for remote-capable agents and developed domain-specific RAG pipelines using Mistral/Mixtral (LoRA/QLoRA), deploying scalable LLM workloads with structured evaluation and reliability practices.

Data Scientist

Fractal Analytics
Apr, 2025 - Jul, 2025 3 months
    Designed and fine-tuned transformer-based NLP and generative AI models for enterprise use cases, optimizing inference performance and deployment pipelines on cloud infrastructure. Collaborated with cross-functional teams to ensure successful implementation of data science projects.

Programmer Analyst 2 (AI/ML)

Boeing
Mar, 2021 - Apr, 20254 yr 1 month
    Built an LLM-powered document intelligence platform leveraging LangChain, HuggingFace, and Pinecone-based vector search to enable semantic retrieval and OCR-enhanced diagram parsing across engineering documentation. Converted 30+ legacy engineering workflows into scalable RESTful microservices, reducing manual processing time and improving system modularity. Migrated POC systems to production-ready frameworks, implementing CI/CD pipelines, secure gateways, and containerized deployments on OpenShift.

Data Scientist Intern

SprigHub
Aug, 2020 - Dec, 2020 4 months
    Developed an Anomaly Detection model for ad campaigns, generating comprehensive text reports, enhancing data-driven decision-making. Produced user-friendly reports from structured data, suggesting budget optimization strategies, increasing conversion rates by 17% across platforms like Bing, Facebook, Instagram, and Twitter. Collaborated with cross-functional teams to implement data science projects, ensuring successful deployment and optimization of AI models.

Achievements

  • Special jury award in Swayam Hackathon 2022 for 'Automated tool to create defects in Azure DevOps'
  • 2022 AI & Analytics Unconference for 'Identifying Gender Bias using AI'

Major Projects

4Projects

Driver Distraction and Drowsiness Recognition

Oct, 2019 - Jan, 2020 3 months
    Created an app to automatically detect driver activities and drowsiness, averting accidents.

Stackoverflow Tags Predictions

Jun, 2019 - Jul, 2019 1 month
    The project aims to automatically suggest relevant tags for Stack Overflow questions using Machine Learning, surpassing Linear SVM with an F1 score of 0.67.

Image Captioning

Jan, 2019 - Jul, 2019 6 months
    Automatically create captions for images, employing CNN and LSTM models.

Stack overflow Tags Predictions

Jun, 2019 - Jul, 2019 1 month
    Automatically suggest relevant tags for Stack Overflow questions using Machine Learning.

Education

  • Master of Science: Data Analytics

    National Institute of Technology Tiruchirappalli

  • Bachelor of Science: Information Technology

    SRM University Ghaziabad