Harshita

About Harshita

Backend & GenAI Engineer with 3+ years of experience building scalable, cloud-native systems at Deloitte USI. I specialize in Python backend development, distributed architectures, and high-performance REST APIs, with hands-on experience designing and deploying production-grade applications on AWS.I have built and maintained 60+ APIs powering business-critical platforms, focusing on performance optimization, system reliability, clean architecture, and secure cloud deployments. My experience includes database optimization, monitoring, and implementing resilient backend services in agile environments.With a strong foundation in AI/ML and data analytics, I work on integrating LLM and RAG-based solutions into backend workflows to enable intelligent, scalable automation. I combine technical depth with business understanding (MBA in Data Analytics & IT) to deliver robust, production-ready systems that create measurable impact.

Experience

1. Associate Analyst

   Deloitte

   Dec 2022 — Present · Bengaluru, IN

   At Deloitte, I design and build production-grade backend systems powering enterprise-scale applications across ticketing, device management, and regulatory reporting platforms.I have built and owned 60+ Python microservices and REST APIs using FastAPI and Flask, supporting mission-critical systems used by thousands of internal users. By implementing asynchronous processing, batching strategies, and SQL query optimization, I reduced API latency by 40% and enabled processing of records per request while cutting peak-hour failures by 30%.I engineered high-volume automation workflows including notification systems handling alerts per day and file ingestion pipelines processing >10MB payloads. I also led Jira integrations with custom field mapping and JQL optimization, improving ticket search efficiency by 50% and reducing manual operational effort by 35%.On the data engineering side, I contributed to a regulatory-grade pharmacovigilance reporting platform where I processed and validated safety case records, improving data accuracy by 25% and reducing reporting turnaround time by 30% through automated ETL workflows.Beyond development, I strengthened code quality and deployment stability by implementing CI/CD pipelines using GitHub Actions and Docker, enforcing SonarQube standards, and building robust unit testing frameworks with pytest. Recognition: Received multiple Spot Awards for driving performance optimizations, owning critical backend components, and consistently delivering high-impact solutions that improved system reliability and business efficiency.

Education

• MIS Jhajjar

  XII , PCM

• Deenbandhu Chhotu Ram University of Science & Technology

  Bachelor's degree, Computer Engineering

• Manipal University Jaipur

  Master of Business Administration - MBA, Data Analysis and IT

• MIS Jhajjar

  X