SDE-1 @ Bright Money | NIT-MZ’CSE’26 l PySpark l Airflow l Distributed Systems | Gen Ai | LLMOps



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Bachelor of Technology - B.Tech, Computer Science
National Institute of Technology Mizoram

Higher Secondary Education
Allen
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Software Engineer at Bright Money Building scalable backend systems, data pipelines, and AI-powered applications. Passionate about distributed systems, cloud technologies, and solving real-world engineering challenges. Ex-SalesTarget.AI | Backend • Full Stack • AI Engineering Always open to connecting with builders, engineers, and innovators. 🚀
Bengaluru
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Software Development Engineer I at Bright Money, Jun 2026 - Present · 3 mos
Software Development Engineer Intern at Bright Money, Dec 2025 - Jun 2026 · 7 mos, ❖ Built an end-to-end ledger automation pipeline using Django Admin, AWS S3, and SFTP, enabling secure ingestion, validation, and processing of financial CSV data. ❖ Designed Airflow DAGs to automate daily and monthly NDACH/SDACH reports, orchestrating data transfer from S3 to bank SFTP via EC2-executed scripts. ❖ Developed a new payment validation flow (credit ach validation) reducing unauthorized transactions by 0.2%. ❖ Migrated manual Jupyter workflows to scalable PySpark + Iceberg pipelines, automating daily report generation and improving data processing efficiency.
Software Development Engineer Intern at Salestarget.ai, Mar 2025 - May 2025 · 3 mos, ❖ Developed the CRM Lead Explorer page with dynamic animations using Framer Motion, enhancing user experience. ❖ Built a high-performance homepage using Next.js, optimizing load speed, responsiveness and implemented secure authentication using NextAuth, ensuring reliable user access control. ❖ Integrated the Maildos API for responsive data handling with latency under 200ms, and structured the project using a monorepo architecture (Turborepo) for scalable development.
Machine Learning Intern at IIT Bhilai Innovation and Technology Foundation (IBITF), Oct 2024 - Mar 2025 · 6 mos, ❖ Worked as an AI/ML Intern at NIT Mizoram, contributing to a healthcare app for booking doctor appointments. ❖ Developed the disease prediction module using Random Forest and other ML techniques to improve accuracy and efficiency. ❖ Contributed to the initiative “A Platform for Cost-Efficient Public Health Service Delivery in Mizoram”, aimed at enhancing healthcare accessibility and delivery.
Bachelor of Technology - B.Tech, Computer Science, National Institute of Technology Mizoram
Higher Secondary Education, Allen
github: https://github.com/being-snehil