Software Engineer - Java/Python Systems, LLM Cost-Control

ANJALI PANDEY

SOFTWARE ENGINEER CHICAGO, IL

716-****-*** ****************@*****.*** LinkedIn GitHub Portfolio EXECUTIVE SUMMARY

Experienced in designing production-ready services under ambiguity,owning end-to-end correctness,security,&reliability. Strong background in Java/Python systems, cost-aware LLM integration, performance optimization in real-world environments. PROFESSIONAL EXPERIENCE(3+ years)

Holiday World AISoftware Engineer-Chicago, IL July 2025 - Present

●Owned backend architecture for a multi-tenant vendor platform, designing auth, data isolation, listings, bookings, & payments

●Built account-scoped APIs with Node.js & TypeScript, enforcing strict authorization and handling auth & data safety edge cases

●Implemented cookie-based auth and role enforcement, handling auth failures and edge cases across vendor workflows

●Collaborated directly with the CEO and the designer to translate evolving requirements into backend system behavior PhysicianX AI Software Engineer-Buffalo, NY January 2025 - July 2025

●Designed and built a scheduled BFS crawler ingesting tens of thousands of job pages across 100+ healthcare domains

●Built a regex + NLP-based classifier with >95% precision, reducing LLM usage by 70% and scraping costs by 30%

●Led the decision to replace LLM-first parsing with deterministic heuristics for cost control and system predictability

●Automated CSS selector discovery using Gemini LLM, extracting structured job data into MySQL for analytics pipelines DXC Technology (Client: MetLife) Software Engineer II November 2023 - June 2024

●Designed and implemented weekly batch systems, migrating legacy insurance workflows to modern Java-based pipelines

●Built a policy revival engine using Spring Batch and Redis, restoring 10K+ lapsed policies monthly within SLA windows

●Developed a rule-based bonus declaration system processing 1M+ policies with deterministic, auditable batch logic

●Reduced batch runtime by 40% via Redis caching and PostgreSQL query optimization under tight processing deadlines

●Owned incident resolution for batch failures and data inconsistencies in high-volume financial systems DXC Technology (Client: MetLife) Software Engineer I February 2023- November 2023

●Built backend services for fund disbursement, loans, and income scheduling, supporting 50K+ monthly policy transactions

●Enhanced credit card mandate processing by extending legacy workflows, improving reconciliation accuracy by ~40%

●Contributed fixes and enhancements to production insurance systems handling high-value financial operations Aditya Software Solutions Software Engineer June 2021 - January 2023

●Built GST billing and inventory modules using Java & Spring Boot, cutting manual entry by 60%, boosting invoicing accuracy

●Owned CI/CD pipelines with Jenkins and OpenShift, adding automated tests to improve release reliability CORE SKILLS

●Languages & Build Tools:Java, Python, TypeScript, C++, Go, Spring Framework, Fast API, React, RESTful APIs, Maven, Gradle

●Databases & Messaging:PostgreSQL, MongoDB, MySQL, Snowflake, Redis, RabbitMQ, Kafka, Hadoop, MapReduce

●Cloud & DevOps:AWS (RDS, EC2, S3, SageMaker, Lambda), Docker, Kubernetes, Jenkins, Argo, Git, GitHub, OpenShift

●Observability & Testing:Datadog, Grafana, Prometheus, Postman, SonarQube, JUnit, Mockito, CI/CD pipeline, Apache Hop

●AI Expertise:Codex, Cursor, Claude Code, GenAI, LLM APIs, ML pipelines, LLM workflows, AI agents, Prompt orchestration

●Problem Solving:Data Structures & Algorithms, System Design, Operating Systems, Distributed Systems, Codex, Cursor PROJECTS

Event-DrivenNotification&AlertSystem-ArchitectedaKafka-basedalertsystemwithSpringBoottohandle10K+dailyevents at 99.9% reliability. Reduced failure rates by 60% through async processing and retry logic Local Retrieval-Augmented Generation (RAG)System -Built a RAG system using FAISS,LangChain,and Hugging Face to generate document-grounded responses. Achieved sub-second retrieval across 1K+ ingested files for scalable intelligent search Unstructured Data AnalysisofLuxuryCarBrands-EngineeredanNLPpipelinewithPython,NLTK,andscikit-learntoanalyze 10K+ reviews. Extracted sentiment and brand insights to guide luxury car positioning strategy EDUCATION

University at Buffalo SUNY June 2025

Master of Science, Information Systems GPA: 4/4

Kalasalingam Academy of Research and Education June 2022 Bachelor of Technology GPA: 3.95/4

CERTIFICATIONS & ACHIEVEMENTS

AWS Solution Architect Associate Prompt Design in Vertex AI Tableau Transform Data BigQuery Data Warehousing Open to Relocation Available to join immediately

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