Vinay Kalyan Gajula

Vinay Kalyan Gajula

Software Engineer and AIML enthusiast


About

As an Associate Software Engineer with a B.Tech in Artificial Intelligence and Data Science, I am deeply passionate about building scalable solutions and fostering vibrant tech communities. My technical expertise lies in web development and cloud engineering, with a specialized focus on the Google developer ecosystem—specifically utilizing TensorFlow, Google Cloud Platform (GCP), and Google AI Studio to build intelligent, forward-thinking applications. At Dhruva Advisors India, I engineer AI-driven agentic workflows that automate complex data transformations, dramatically reducing processing time per item from three hours to under twenty minutes. I also redesigned data ingestion pipelines for PostgreSQL, increasing ingestion capacity by over 400%, and spearheaded the migration of a legacy Python application to a modern Nuxt.js framework within a 30-day sprint. These experiences have sharpened my architectural resilience, bridging the gap between heavy backend data processing and seamless web interfaces. My passion for AI also extends to academic research. I have evaluated deep learning architectures to combat adversarial prompt injections on LLMs, achieving a 99.16% detection accuracy using a hybrid CNN and Transformer framework. This work heavily emphasizes Responsible AI (RAI) practices to mitigate algorithmic biases and ensure ethical deployment. Beyond engineering, I am deeply rooted in the Google Developer Groups ecosystem. As the Domain Lead for Testing and Cybersecurity at GDG VNRVJIET, I hosted "HackSprint," a 21-day event introducing ethical hacking to over 120 students. My leadership roles as the Management Coordinator of GDSC VNRVJIET and Founder of VJ Hack/Slash highlight my long-standing commitment to building local ecosystems where developers learn and grow together. I am excited to contribute my technical expertise and community spirit to DevFest, helping create an inspiring experience for developers of all backgrounds.

Skills
JavaScript
Python
Node.js
Next.js
Vue
PostgreSQL
System Design
Experience

Associate Software Engineer

Dhruva Advisors india pvt ltd.

Oct 2025 to Present
  • Engineered AI-driven workflows using optimized data structures and LLMs to automate complex tax logic, reducing processing time per item from 3 hours to under 20 minutes.
  • ​Redesigned software architecture and PostgreSQL data ingestion pipelines, increasing backend ingestion capacity by over 400%.
  • ​Led the migration of a legacy Python application to a modern Nuxt.js framework, delivering a fully redesigned frontend within a 30-day sprint.
Projects

IndenteWeb

Indente Web is an individual project developed as a 3-portal React web application (admin, agent, and driver) designed to digitize daily indent ordering and last-mile delivery for wholesale distributors, actively serving over 100 users. ​Key features and technical accomplishments of the project include: ​Authentication & Security: Implemented role-based authentication using Supabase for three distinct user roles, featuring portal-aware sessions, phone login for agents and drivers, and middleware route gating. ​Transport Logistics: Designed a hub-and-spoke transport system with primary and secondary routes, multi-agent stops, drag-and-drop sequencing, and cron-based auto-generating post-indent closure. ​Ordering Workflow: Built an agent ordering workflow that includes per-company catalogs, cart checkout, and timezone-aware indent closure aligned with the Asia/Kolkata business day. ​Database Engineering: Engineered a PostgreSQL returnable-container ledger across companies, drivers, and agents. This involved establishing a relational schema for balances, adjustments, and audit trails using multi-table joins, transactional updates, and chunked queries to bypass PostgREST's 1,000-row limit and maintain accurate ledger totals. ​Analytics & Reporting: Delivered operational reporting comprising nine different views (including HDPOS matrices, trends, and zero-order agents) with PDF and Excel export capabilities. ​Tech Stack: Built utilizing React, Node.js, Supabase, Next.js, and SQL.

React
Node.js
Supabase
Next.js
SQL
Education

B.Tech in Artificial Intelligence and Data Science

VNR vignana jyothi institute of engineering and technology

Nov 2021 to Jun 2025