Spearheaded a production-ready AI agent ingesting inbound requests from Discord, web forms, and email; normalized fields and routed items through defined qualification criteria. Devised a scoring rubric (priority tiers) using urgency, topic, and intent signals; calibrated thresholds to improve follow-up precision by 18%. Orchestrated automated communication workflows with personalized email drafts, next-step prompts, and meeting-time proposals; reduced manual handling by 40%. Integrated REST APIs with Discord and email service providers; enforced secure secret handling, audit logging, and retry controls for reliability and maintainability. Mentored a 4-person intern pod with task allocation, review gates, and release checklists.

Associate System Engineer at IN TECHNET LIMITED

May 1, 2023 - July 1, 2024

Directed automation solutions in Python and SQL consolidating records across data sources; reduced reconciliation cycles by 22%. Architected API integrations with idempotency keys, schema validation, and backoff retries to improve robustness under load. Optimized ML pipelines (Spark, MLflow, Docker, Jenkins) for process optimization, lowering rerun latency by 25% while preserving reproducibility. Diagnosed data-quality failures via root-cause analysis, cutting dashboard discrepancies by 18% and restoring stakeholder confidence. Instituted secure production controls (IAM least privilege, WAF rules, structured logging) to strengthen maintainability and reduce incident recurrence by 12%.

Software Engineer Intern at IN TECHNET LIMITED

September 1, 2022 - April 1, 2023

Implemented REST API services (Python, C++ microservices) and authored unit checks for payload contracts, increasing sustained throughput by 20% under load testing. Streamlined batch transforms using Apache Spark and PySpark on AWS Glue/Athena; processed 5M+ rows with schema validation and raised data readiness by 30%. Instrumented an observability baseline with Prometheus metrics and Grafana dashboards, reducing mean time-to-detect by 25% via alert rules and log correlation. Coordinated with engineering partners to resolve integration defects early, shrinking downstream bug volume by 15% during release hardening.