Kushal V Achar

Software Engineer · AI Enthusiast

Bengaluru, Karnataka, India

@kushal_v_achar

LinkedIn GitHub

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🎓 B.E. in Computer Science and Engineering at BMS Institute of Technology and Management · Graduating 2028

About

Software developer with a strong foundation in Data Structures and core Computer Science concepts, including OS, CN, DBMS, and OOPS. Builds real-time and full-stack applications using the MERN stack and explores AI tools for practical solutions.

Experience

Software Development Intern

SkillCraft Technology

Aug 2026 – Sep 2026

Completed a one-month software development internship involving hands-on programming and project-based development tasks. Applied software engineering and problem-solving concepts to implement assigned technical tasks and strengthen practical development skills.
Open-Source Contributor

Stacktale

Feb 2026 – Mar 2026

Fixed a Spring Boot integration bug causing AI error reports to show app=? despite spring.application.name being configured, by propagating application metadata through the reporting pipeline. Contributed the fix through a reviewed and merged upstream PR, validating the change with the full Maven test suite and PIT mutation testing.

Education

2028

B.E. in Computer Science and Engineering

BMS Institute of Technology and Management

Computer Science and Engineering (CSE) · 2024 – 2028

Computer Science and Engineering (CSE) · 2024 – 2028

Skills

<3 months

C SQL RAG Oop Java Python WebRTC Vectordb LangChain JavaScript Embeddings Android SDK Advanced DBMS Web development Computer Networks Operating Systems API Integration Understanding Data Structures and Algorithms

Tools / apps / platforms

<3 months

Git Docker GitHub Render MongoDB ChromaDB Firebase LinkedIn Gemini AI Wireshark Apache Maven Android Studio Splunk Enterprise

Projects

NetSecAI

Python, React, FastAPI, Gemini AI

A full-stack AI-powered cybersecurity analysis platform integrating 5 modules including URL, PCAP, Threat Intel, Content, and Pipeline. Implemented port scanning, vulnerability checks, phishing detection, and integrated VirusTotal and AbuseIPDB APIs for unified risk scoring.
Semantic Search Engine (RAG)

Python, Streamlit, LangChain, Gemini AI, ChromaDB

Implemented a LangChain pipeline with PyPDFLoader for parsing, recursive chunking, and Gemini embeddings stored in a ChromaDB vector store. Designed a retriever-augmented prompt pipeline combining relevant retrieved chunks with user queries to generate grounded answers using Gemini 2.5 Flash.

Courses & certifications

Introduction to CyberSecurity · Cisco Networking Academy
Introduction to OpenAI GPT models · Infosys SpringBoard

🏆 Achievements & awards

CodeRed24 · 2024

Presented the prototype of AI-based Smart Waste Segregation using Android Studio (Java) as a first hackathon experience.
RIFT-26’ · 2026

Developed a website, Graph-based Financial Crime detection engine, on a cybersecurity theme using FastAPI and deployed it with Render.

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