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Anupama Rajendran

@anupamarajendran

Data-focused backend and full-stack developer building secure APIs and ML/RAG pipelines.

United States
Message

What I'm looking for

I’m looking for a role where I can build secure, data-driven backend systems and ship ML/RAG pipelines—using my Python/SQL skills to improve reliability, performance, and evidence-based outcomes.

I’m a Graduate Technical Assistant with a Master of Science in Data Science, focused on building secure, reliable data systems. In my current role, I engineered validation protocols to prevent redundancy and errors, eliminated SQL injection vulnerabilities, and implemented RBAC-driven administrative search and secure file-upload infrastructure.

Previously, I built large-scale C++ data processing and BI dashboard features, optimizing SQL queries and automating Python-based data validation to reduce manual QA by ~80%. I also develop end-to-end ML and RAG solutions—building a full ML classification pipeline and a ChromaDB + LangChain RAG system with RAGAS evaluation to drive evidence-backed ingredient safety scoring.

Experience

Work history, roles, and key accomplishments

University of Connecticut logoUC
Current

Graduate Technical Assistant

Sep 2025 - Present (11 months)

Reduced database redundancy and data entry errors to 0% using strict client-side and backend validation with unique indexing constraints. Developed secure CSV extraction with sensitive-data masking, mitigated SQL injection risks, and implemented secure file upload with role-based access controlled search.

CF

Data Analyst (Volunteer)

Community Dreams Foundation

May 2026 - Jul 2026 (2 months)

Conducted end-to-end data analysis of a QuickBooks Online Excel add-in, identifying journal entry parsing gaps and related behaviors. Designed a structured audit log schema for a multi-client accounting platform to support persistent submission history across QuickBooks/Xero reporting.

TS

Back-End Developer

May 2020 - Apr 2022 (1 year 11 months)

Designed a large-scale C++ data processing system for a consumer intelligence platform to ingest and transform millions of records into analytics-ready outputs. Built BI dashboard features and optimized SQL queries for a 15% reduction in execution time, and implemented Python-based data validation automation to reduce manual QA by ~80% across eight production releases.

TS

Data Integration Engineer

Dec 2018 - Apr 2020 (1 year 4 months)

Managed end-to-end B2B data integrations by translating complex technical requirements from third-party vendors into functional data transformation maps using IBM Sterling B2B Integrator. Engineered secure data routing pipelines using SFTP to transmit processed payroll arrays while ensuring 100% data confidentiality.

Education

Degrees, certifications, and relevant coursework

University of Connecticut logoUC

University of Connecticut

Master of Science in Data Science, Data Science

2025 -

Pursuing a Master of Science in Data Science with coursework in Statistics, Machine Learning, Generative AI, Data Visualization, and Causal Inference.

Lambton College logoLC

Lambton College

Postgraduate in Full Stack Software Development, Full Stack Software Development

2022 - 2024

Completed a postgraduate program in Full Stack Software Development with coursework in Python, SQL, database design and management, JavaScript, and Cloud computing.

M G University logoMU

M G University

Bachelor of Engineering, Electronics and Communication Engineering

2013 - 2017

Earned a Bachelor of Engineering in Electronics and Communication with coursework in MATLAB, Statistics and Probability, and Linear Algebra.

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