Backend Engineer RAG, APIs, and Cloud

Grishma Pandiyath

Bloomington, Indiana

929-***-**** # *******.*******@*****.*** ï linkedin.com/in/gpandiyath § github.com/gr1shhh Education

Pace University Sep 2023 – May 2025

Master of Science in Computer Science — GPA: 3.8/4.0 New York City, NY University of Mumbai Aug 2016 – Jun 2020

Bachelor of Engineering in Information Technology — GPA: 8.57/10.0 Mumbai, India Experience

FilmyAI Oct 2024 – Present

Backend Engineer Intern Jersey City, NJ

• Engineered a RAG chatbot using OpenAI and LangChain, building a document ingestion, chunking, and vector search pipeline for domain-specific datasets that delivered accurate, context-aware responses with improved retrieval quality in production.

• Built an LLM pipeline to transform 200+ casting postings into structured candidate-role matches with relevance-based ranking.

• Eliminated redundant DB calls across 20+ core Spring Boot APIs, cutting average response time by 30% under production load.

• Tuned PostgreSQL performance via targeted indexing and join rewrites, reducing execution time by 20% on high-traffic endpoints.

• Improved release efficiency by 15% decomposing monolithic backend into independent microservices, enabling faster deployments.

• Boosted frontend-backend stability by 10% by standardizing API contracts and validating endpoints via Swagger and Postman.

• Implemented backend observability using Splunk-based structured logging and request tracing, and built an LLM-based log analysis layer to summarize errors and accelerate root-cause identification in production systems with faster debugging workflows. Showcase Aug 2024 – Oct 2024

Backend Engineer Intern Jersey City, NJ

• Built CI/CD pipelines with Jenkins and automated testing, reducing manual release effort and enabling 2 faster release cycles.

• Implemented JWT authentication with role-based access control, securing 15+ API endpoints and standardizing access policies.

• Deployed REST APIs on AWS EC2 behind a load balancer and RDS for persistent storage, enabling scalable request handling.

• Refactored 10+ PostgreSQL queries and optimized schema design, cutting query complexity across 5+ backend services.

• Reduced production 500 errors by 30% via centralized exception handling and request validation across all Spring Boot APIs. Accenture Dec 2020 – Jul 2023

Software Engineering Analyst

• Owned end-to-end reliability of a high-volume data pipeline processing 18M daily meter reads, resolving production failures to deliver billing-ready data, reducing disruptions by 30% and ensuring consistent data availability for downstream systems.

• Replaced a failure-prone legacy batch pipeline processing weather data from headend systems with a plugin-based real-time data integration solution, eliminating 60+ recurring failure tickets/month and saving 16 hours/week of manual effort across the team.

• Eliminated 28 hours/week of manual monitoring by engineering Python and Bash scripts for daily health checks across 40+ servers in 2 data centers, covering disk, queues, and JVM processes, enabling proactive incident detection before user impact.

• Reduced production downtime by 30% by building alerts in Splunk and Dynatrace, driving root-cause analysis and resolution.

• Refactored a monolithic ingestion pipeline into modular components, reducing failure isolation and resolution time by 30%.

• Led a time-critical configuration transition across 5 critical services, coordinating cross-functional teams to deliver a seamless zero-downtime switchover and prevent billing and data processing disruptions across downstream systems and service integrations.

• Guided 4-5 junior engineers through in-depth code reviews and technical feedback sessions, reducing PR iteration cycles by 20%. Projects

Vero 2 Auth0 AI Agents Hackathon React, FastAPI, Gemini, Auth0 Token Vault, Gmail API, Google Drive API

• Engineered an AI agent that fights insurance claim denials, using Gemini to extract denial details and draft appeal letters, Auth0 Token Vault to securely send via Gmail and save to Drive, and a human-in-the-loop checkpoint before every action. DB Migration Checker 2 GitLab AI Hackathon Python, Flask, GitLab Duo Flow, Gemini, BigQuery, Cloud Run, Cloud Scheduler

• Built a GitLab Duo Flow pipeline to classify SQL migration risks, block destructive MRs, and generate Gemini-powered insights. MedAssist AI 2 Python, Flask, LangChain, OpenAI, Hugging Face, Pinecone, Docker

• Built a RAG chatbot with LangChain and Pinecone, answering health queries via semantic search over ingested PDF documents. Luminary 2 Gemini Live Agent Hackathon React, FastAPI, Gemini 2.5 Flash, Imagen 3, Google Cloud TTS

• Built a multi-modal generation pipeline using Imagen to produce illustrated scenes with narration and synced subtitles. Technical Skills

Languages & Libraries: Java, Python, C++, JavaScript, Kotlin, HTML, CSS, Shell, Pandas Frameworks: Spring Boot, Django, React, Node.js, Angular, Flask, Maven, Tomcat, Bootstrap, Tailwind AI / Machine Learning: Gemini, OpenAI, LangChain, Pinecone, Hugging Face, Vertex, Imagen Tools: IntelliJ, Eclipse, Splunk, Jira, Postman, Swagger, GitHub, GitLab, Jenkins, JUnit, Mockito, Docker, Dynatrace, Bash, Gradle Databases, Cloud: MySQL, PostgreSQL, Firebase, MongoDB, Supabase, AWS EC2, GCP BigQuery, Cloud Run, Cloud Scheduler Achievements

ACE (Accenture Celebrates Excellence) Award: Recognized for executing complex initiatives and driving measurable impact. Pinnacle – Rising Star Award: Recognized for innovative solutions and exceeding expectations in high-impact client projects. Pace University Graduate Merit Scholarship: Awarded $6,000 annually for distinguished academic record and achievements. Oracle Certified Associate Java SE 8: Industry certification validating proficiency in Java SE 8 programming fundamentals.

Contact this candidate