shrrewd
$ cat about.md

Hey there ๐Ÿ‘‹

I'm Ashish Verma

A software engineer with a passion for building scalable systems and developer tools. Currently pursuing my M.Tech in Computer Science at IIIT Naya Raipur. I've worked across the stack โ€” from crafting data ingestion pipelines for banking clients to building optimised backend solutions for diverse industries. I thrive at the intersection of clean code, system design, and shipping fast.

Experience
Software Engineer ยท Eactive Technologies
Oct 2024 โ€“ Dec 2024
Intern
  • Collaborated with a cross-functional team of 10+ developers, testers, and UX designers to deliver ERPNext solutions tailored for over 15 business clients
  • Enhanced UI functionality by developing custom backend scripts and API to interact with external data sources, reducing manual processing time by 30%
Python SQL Frappe Vue.js
Software Engineer ยท Lumiq.ai
Jan 2023 โ€“ Jul 2023
Trainee
  • Developed and deployed 2 data ingestion modules for the Empower Product using NestJS and React, accelerating data processing from weeks to under 24 hours for 20+ banking clients
  • Implemented OAuth, AWS Secret Manager integration, and REST APIs for seamless user experience and security
  • Built robust connection service module for several databases โ€” OracleDB, Salesforce, S3, MongoDB, MSSQL
  • Led code reviews with the Tech Lead and wrote technical design documents with SOPs
NodeJS SQL React NestJS AWS Docker
Education
IIIT Naya Raipur
M.Tech - Computer Science Engineering
Jul 2026 โ€“ Present
Naya Raipur, IN
IIIT Lucknow
PGDBM - Digital Business
Jul 2025 โ€“ Jul 2026
Lucknow, IN
IIIT Naya Raipur
B.Tech - Electronics & Communications Engineering
Jul 2019 โ€“ Jul 2023
Naya Raipur, IN
Technical Skills
Languages
JavaScript Python C/C++ SQL HTML/CSS Bash
Frameworks
Node.js NestJS React Frappe
Developer Tools
Git Docker GCP AWS Figma Jenkins Claude
Workflows
CI/CD ETL Jira
Featured Project
โ—† Contactless Entry & Attendance System

Deep-Net facial recognition system for employee attendance โ€” classifies mask-wearing status and registers attendance simultaneously.

  • CNN model using MobileNetV2 architecture achieving 96% accuracy
  • Funded by Govt. of India under COVID-19 research group
โœ“ 96% accuracy
Python OpenCV TensorFlow Deep Learning
Leadership
Placement Coordinator ยท IIIT Lucknow
Mar 2026 โ€“ Jul 2026

Converted 5+ companies for internships/FTE offers and conducted talk sessions with industry experts for students.

Core Member ยท Ciphercell Club, IIIT-NR
Sep 2020 โ€“ Aug 2021

Authored technical blogs to increase the cybersec club's reach two-fold and organized CTF events.

Achievements
โ˜… Potential Real Venture โ€” Wadhwani Foundation

Practice Venture "Connect-e" certified as a Potential Real Venture by the Global Jury of Wadhwani Foundation.

Get in Touch
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about.md
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