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Anjali BanthiaAB
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Anjali Banthia

@anjalibanthia

Computer Science graduate specializing in AI/ML and backend software development.

India
Message

What I'm looking for

I am seeking roles that leverage AI/ML and backend development where I can build production systems, collaborate cross-functionally, and grow technical ownership in a data-driven, supportive team.

I am a B.Tech Computer Science student specializing in Artificial Intelligence & Machine Learning with practical internship experience building production-ready RESTful APIs and end-to-end ML pipelines. I have delivered backend improvements that reduced API latency, designed scalable architectures, and implemented ML models for healthcare risk prediction using Python and scikit-learn.

I combine strong engineering practices (code reviews, modular design, Git) with data analysis and visualization skills to translate requirements into actionable systems. My projects span recommendation engines, graph-based web apps, and urban data analytics, demonstrating both software engineering and machine-learning capabilities.

Experience

Work history, roles, and key accomplishments

EL

Software Developer Intern

Emizentech Pvt Ltd

Jan 2025 - Jun 2025 (5 months)

Designed and shipped RESTful APIs in PHP and JavaScript consumed by 3+ client-facing services, refactored legacy backend modules to reduce API latency and server resource consumption, and enforced engineering best practices within a 5-person team to maintain production reliability.

IBM logoIB

Data Analytics Intern

Jun 2024 - Aug 2024 (2 months)

Built an end-to-end ML classification pipeline in Python for diabetes risk prediction using GridSearchCV to optimize F1-score on imbalanced datasets, performed feature engineering on 100,000+ records to reduce model noise, and delivered visual analytics dashboards to drive data-informed decisions.

Education

Degrees, certifications, and relevant coursework

JU

Jaipur National University

Bachelor of Technology, Computer Science (Artificial Intelligence & Machine Learning)

2021 - 2025

Grade: 89.67/100

Activities and societies: Relevant coursework: Data Structures & Algorithms, Operating Systems, Computer Networks, Database Systems, Machine Learning, Deep Learning.

Pursuing a B.Tech in Computer Science with a specialization in Artificial Intelligence & Machine Learning, achieving a GPA of 89.67/100 and completed coursework in algorithms, operating systems, networks, databases, and machine learning.

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