SJ

Satyam Jha

Available to hire

I am a Computer Science and Engineering student at Bennett University with hands-on experience in AI data annotation, automation, natural language processing, computer vision, and geospatial analysis.

About

I am a Computer Science and Engineering student at Bennett University with hands-on experience in AI data annotation, automation, natural language processing, computer vision, and geospatial analysis. During my internships, I supported large-scale text and image labeling projects, contributed to AI workflow optimization, and developed automation solutions using Microsoft Power Automate. I enjoy working across the software development lifecycle, from understanding requirements and designing solutions to testing and documentation.

I have built projects involving retrieval-augmented generation, automated process documentation, oil spill detection using SAR imagery, and urban heat mapping. My technical foundation includes Python, C++, Java, SQL, TensorFlow, Keras, machine learning, and data science. I am friendly, curious, and motivated to keep developing practical AI and software solutions that improve efficiency and solve real-world problems.

  • Joined September 2026

Industry experience

  • Computers & Electronics
  • Software & Internet
  • Professional Services
  • Education
  • Energy & Utilities

Work experience

Intern/Trainee - Advisory & Consulting · PwCJun 2026 – Aug 2026 · 3 mos

Designed an AI Automation Documentation Generator for automated process design document generation. Worked across software development lifecycle phases, including requirements, design, development, testing, and documentation. Developed automated flight booking and cancellation workflows using Microsoft Power Automate. Worked on Power Apps security using column-level security, data masking, and role-based access to protect sensitive client data.

Data Annotation AI Support Intern / Freelancer · Scaled Uber AI SolutionsJun 2025 – Jul 2025 · 2 mos

Performed data annotation and labeling for large-scale text and image datasets. Collaborated with clients and internal AI teams to optimize annotation workflows and support improvements in model performance, scalability, and reliability.

Education

B.Tech in Computer Science and Engineering · Bennett University2023 – 2027

Certifications and awards

Databases and SQL for Data Science with Python - Coursera2030 – 2026
Data Structures - University of California, San Diego2030 – 2026
Statistics for Data Science with Python - Needy Hand Foundation2030 – 2026

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