Snehil Verma profile photo 1 on Tal

Snehil Verma

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

Bengaluru

1+ year of work experience

Bright Money
Jun 20263 mosPresent

Bright Money
Dec 20257 mosJun 2026

❖ 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.
Salestarget.ai
Mar 20253 mosMay 2025

❖ 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.
IIT Bhilai Innovation and Technology Foundation (IBITF)
Oct 20246 mosMar 2025

❖ 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.

Snehil’s AI Stack

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Education

National Institute of Technology Mizoram

Bachelor of Technology - B.Tech, Computer Science

National Institute of Technology Mizoram

20224 yrs2026
Allen

Higher Secondary Education

Allen

20202 yrs2022

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Headline

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

About

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. 🚀

Location

Bengaluru

AI stack

codex

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claudecode

Work experience

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.

Education

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

Higher Secondary Education, Allen

Public links

github: https://github.com/being-snehil

Snehil Verma - Software Development Engineer I in Bengaluru | Tal