Ronak S.

About Ronak S.

Hi, I’m Ronak SenguptaA Senior Software Engineer with 4+ years of experience in building scalable backend systems, large-scale data pipelines, and enterprise automation tools across B2B SaaS Fintech and geospatial mapping domains.Core Strengths:• Backend Engineering – Java, Scala, Python• Frameworks – Spring, Spring Boot, Hibernate, Apache Solr• Big Data – Apache Spark, Kafka• Databases – MySQL, Cassandra, MongoDB• Cloud & DevOps – AWS, Docker, Kubernetes• Concepts – Event-Driven Distributed Systems, Microservices, GenAI, LLM, Prompt EngineeringKey Highlights:• Built and scaled data ingestion platforms for Apple Maps (via Payoda), improving POI issue resolution through automation and real-time workflows.• Contributed to fintech products at HighRadius that optimized working capital, reduced DSO, and automated cash flow operations.• National Finalist — India AI Impact Challenge for developing a scalable Generative AI solution addressing real-world problems.• Won 4th Place & Special Mention Award at the Launchpad AI Hackathon for building DocuSeek – an AI-powered enterprise search & automation platform integrated with WhatsApp, leveraging LLMs, FAISS, FastAPI, and Twilio.What I’m Looking For:Excited to explore opportunities in backend engineering, data platforms, or AI-driven product development, where I can contribute to impactful systems at scale while continuing to grow as an engineer.Let’s connect or reach out at: r••••••••@gmail.com

Experience

1. Senior Software Engineer

   Apple

   May 2024 — Present · Hyderabad, IN

   Key Contributions:• Designed event-driven microservices (Kafka Stream+ Protobuf) processing ~20K events/day (scalable to 1M+), enabling near-real-time ingestion of POI metadata, user reports, and images via parallel pipelines.• Built a distributed job orchestration framework for large-scale map update workflows, ensuring reliable, idempotent execution of POI corrections with zero data loss.• Developed secure data distribution APIs integrating Amazon S3 and Box to deliver large geospatial datasets and map updates to global mapping vendors with full auditability.• Implemented automated data enrichment pipelines including PII redaction, quality validation, sentiment-based prioritization, and GDPR-compliant processing for user-submitted map reports.• Optimized Solr-based spatial search to enable high-performance retrieval of POIs and basemap features through advanced indexing, geo-queries, and Lucene tuning.• Implemented MongoDB-based distributed locking and mTLS for safe job execution and secure service communication.• Established end-to-end observability using Splunk for real-time monitoring, anomaly detection, and faster incident response.Impact on ML, Data, and Analytics:• Built production-grade LLM backend services using LangGraph and LangChain to orchestrate agentic workflows (tool routing, retries, memory, state), including internal Chat APIs and prompt/context management to automate operations.• Developed evaluation pipelines using confusion matrices to measure model performance on spatial intent signals (location relevance, ownership, issue type), enabling data-driven tuning of map resolution systems.• Driving the design of a multimodal agentic AI platform that autonomously resolves map address & location issues by combining satellite imagery, geospatial data, and LLM reasoning to generate accurate building locations and high-confidence address updates with minimal human intervention.

Education

• Patha Bhavan, Kolkata

  Higher Secondary, Science

  2015 — 2017

• KIIT - Kalinga Institute of Industrial Technology

  Bachelor of Technology - BTech, Electronics and Telecommunication Engineering

  2017 — 2021

• South Point High School, Kolkata

  Secondary, General Studies

  2002 — 2015

• Scaler

  Data Structures and Algorithms