// Chapter 03

Work Experience

Timeline of roles, missions, and the systems shipped along the way.

0 Months Shipped
0 Pipelines Built
0 Cloud Platforms
0 % SLA Uptime
// PROFESSIONAL

Work Timeline

Current Role

AI Engineer

Swarm Lens, USA Remote
Nov 2025 — Mar 2026

Designed and built scalable big-data pipelines for high-volume ingestion, transformation, and validation to support enterprise risk mitigation and data migration. Ensured data quality, fault tolerance, and SLA compliance across batch and real-time workloads.

0 Records / day
0 Data Quality
0 Latency Drop
  • Engineered batch + streaming ETL with PySpark, Kafka, and Airflow orchestration with DAG-level monitoring and retry logic.
  • Built medallion-architecture lakes on AWS S3 with Snowflake transformation layers for analytics-ready data.
  • Contributed to production deployments, CI/CD automation, and operational monitoring applying MLOps and AIOps practices.
  • Improved pipeline reliability and downstream analytics observability via CloudWatch + Grafana dashboards.
Python PySpark Kafka Snowflake Airflow AWS S3 Docker MLOps
// ACADEMIC

Education Path

Undergraduate

B.Tech — Artificial Intelligence & Data Science

Amrita Vishwa Vidyapeetham
2023 — 2027

Specializing in AI & Data Science with hands-on coursework in machine learning, deep learning, distributed systems, and large-scale data engineering. Active in research-grade projects and applied AI labs.

Machine Learning Distributed Systems Data Structures Statistics DBMS
Higher Secondary

Class 12 — CBSE

Devi Academy Higher Secondary School
2021 — 2023

Foundation in Mathematics, Physics, Chemistry, and Computer Science. Developed early interest in programming and applied problem-solving.

Mathematics Physics Computer Science