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Pranjal JainPJ
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Pranjal Jain

@pranjaljain4

AI/ML engineer at Ernst & Young who developed a tax consultant assistant and built an irrigation model that reduced water use by ~34%.

India
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At Ernst & Young, I engineered secure backend systems and identity workflows, implementing Multi-Factor Authentication with Keycloak and building FastAPI microservices for batch data transfers to SAP. I also developed an Agentic Tax Consultant Assistant using RAG, SQL, fraud detectors, safety guardrails, and a Chainlit UI.

On my Precision Irrigation System project, I built an ensemble model for irrigation prediction and integrated real-time weather data for adaptive planning. Its data-driven recommendations reduced water usage by ~34%; I also developed Streamlit projects for fact-checking and duplicate-question detection.

Experience

Work history, roles, and key accomplishments

Ernst & Young logoEY

Summer Intern

Jun 2026 - Jul 2026 (1 month)

Engineered secure backend systems and identity workflows, implementing Multi-Factor Authentication via Keycloak using OIDC/JWT, and built FastAPI microservices for secure, batch-processed data transfers to SAP via OData. Developed an advanced Agentic Tax Consultant Assistant utilizing tool-calling architecture with RAG, SQL, variance calculators, and fraud detectors, managed through a Chainlit UI.

Education

Degrees, certifications, and relevant coursework

Maharaja Agrasen Institute of Technology logoMT

Maharaja Agrasen Institute of Technology

Bachelor of Technology, Computer Science and Engineering (AI)

2024 -

Grade: CGPA 9.30

Pursuing Bachelor of Technology in Computer Science with specialization in Artificial Intelligence, maintaining a CGPA of 9.30 up to the 4th semester.

WS

White Leaf Public School

Class 12 (CBSE), Science (PCM)

Grade: 87.6%

Completed Class 12 (CBSE) with Physics, Chemistry, and Mathematics, achieving a percentage of 87.6.

SS

St. Thomas School

Class 10 (ICSE), General

Grade: 97.6%

Completed Class 10 (ICSE) with a percentage of 97.6.

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