Hi, my name is
A passionate software developer who is super into problem solving using the latest technology, building reliable systems with strong system design, and incorporating business aspects while building solutions. Currently pursuing B.Sc in Computer Science at MAHE while interning at Ericsson.
Hello! I'm Jeevith, a Full Stack Developer and AI/ML Engineerbased in Bengaluru, India. I'm passionate about building software that solves real-world problems, particularly in the domains of cybersecurity, multilingual AI, and healthcare technology.
My journey in tech started with building a University Companion App that was later acquired by Colcord. This experience taught me end-to-end product development, from ideation to scale. Today, I intern at Ericsson in IT Infrastructure Operations while continuing cutting-edge research in AI, with prior experience building production software at Colcord.
At Kasturba Hospital, I worked on AI-driven healthcare projects, building ML pipelines that analyze Electronic Health Records for clinical decision support. My research has led to publications on UniPhish (multilingual phishing detection with 98.7% accuracy) and affordable multilingual voice agents for Indic languages.
I believe in making technology accessible. My voice AI research achieved an 85-90% cost reduction over commercial solutions, enabling deployment in resource-constrained environments across India.
Technologies I work with:
B.Sc Computer Science Engineering
ICAS Manipal, MAHE (2024 - Present)
High School
Baldwin Boys High School
A Course on Psychology for Engineers
IHS 111
Associated with Manipal Academy of Higher Education
Chemistry
ICH 121
Associated with Manipal Academy of Higher Education
Communication Skills in English
IHS 112
Associated with Manipal Academy of Higher Education
Computer Networks
ICS 243
Associated with Manipal Academy of Higher Education
Data Analytics with Python
ICS 234
Associated with Manipal Academy of Higher Education
Data Structures
ICS 121
Associated with Manipal Academy of Higher Education
May 2026 – September 2026 | Bengaluru, India
Working in a DevOps role with exposure to Linux, CI/CD pipelines, automation, cloud infrastructure, monitoring tools, and enterprise-level deployment workflows in a global technology environment.
180+
Countries Served
5G / Cloud
Focus Area
DevOps
Role
July 2025 – January 2026 | Manipal, India
Led full-stack development initiatives from product conception through deployment, working closely with cross-functional teams including product managers, designers, and business stakeholders to deliver V1 product launch.
−70%
Deployment Time
3
Devs Mentored
V1
Product Launch
August 2025 – December 2025 | Manipal, India
Developed AI solutions for clinical decision support using Electronic Health Records (EHR), partnering with doctors and medical staff to identify real-world clinical needs and translate them into actionable AI product features.
60+ yrs
Hospital Est.
EHR / ML
Focus
Research
Output
Total Repos
104
Public
44
Private
60
Top Language
TypeScript
Enigma Hackathon 2025 - Team AXION
Comprehensive web application revolutionizing the ICAS 2+2 transfer program experience. Features intelligent automation for foreign transfer processes, structured peer/alumni connections, and streamlined event management.
Acquired by Colcord
Cross-platform student companion app simplifying daily campus workflows including food planning, ride sharing, marketplace, bill splitting with OCR, timetable management using Gemini AI.
Showing 15 of 104 projects
End-to-end hand-injury ML workflow with SHAP feature importance, XGBoost, Random Forest for MHISS/ATTHA/MUES scores.
Multi-tier voice AI for Indian languages with Whisper ASR, LLaMA 3.2, Piper TTS. 742ms latency.
Unified de-novo S2S transformer for Indian languages with under 300ms latency.
Real-time adaptive news intelligence using Pathway streaming RAG.
ML system for asteroid impact prediction using NASA NEO data and Monte Carlo.
Real-time Voice AI with Faster-Whisper STT, Llama LLM, Edge TTS.
Competitive AI model evaluation platform with multiple game modes.
My research focuses on making AI accessible and secure for underserved populations, from multilingual cybersecurity to affordable voice technology for Indic languages.
Jeevith Gangadhar, Raunak Khandelwal, K. Shashank Reddy, Sudhina Kumar G. K., Hareesha K. S.
Phishing attacks distributed through instant messaging services represent a growing cyber threat for billions of non-English speaking users. This paper presents UniPhish, a Unicode-native parallel multi-kernel 1D-Convolutional Neural Network that encodes every URL as a sequence of UTF-8 bytes, achieving complete Unicode coverage through a vocabulary of only 256 tokens.
MultiPhishDB: 487,523-URL multilingual benchmark (κ = 0.91)
Jeevith Gangadhar, Dr. Nagaraj Naik
This paper proposes a voice agent platform for multilingual Indian users, achieving 85-90% cost reduction compared to commercial alternatives while maintaining conversation quality. The system supports Hindi, Tamil, Telugu, Kannada, Tulu, and English with automatic language identification.
MMS-LID → Whisper ASR → LLaMA 3.2 LLM → Piper TTS
3.4B
Users Protected
Non-English speakers
487K
URLs Analyzed
MultiPhishDB dataset
6
Script Families
Unicode coverage
6
Indic Languages
Voice AI support
Practical engineering strengths shaped by production shipping, hackathon speed, research implementation, and multi-repo experience across AI, full-stack, and voice systems.
Hackathons, certifications, and academic excellence
Finalist
Voice AI Agent for Apollo Hospitals
Built using speech-to-text, NLP, and LLM-based reasoning to assist patients with queries and appointment workflows.
4th Place
iWitness - Anonymous Crime Reporting
Platform focused on user trust, privacy, and accessible UX design for secure crime reporting.
Finalist
Sponsor-focused Event Website
Built responsive UI with strong performance and clear brand communication for event sponsors.
Participant
Data Visualization & Simulation
Leveraged real NASA datasets for scientific storytelling and space exploration education.
Andrew Ng, DeepLearning.AI
Coursera
DeepLearning.AI & AWS
Coursera
A+ in Computer Science
Board Examinations
93% in High School
Baldwin Boys High School
Currently Exploring
Thoughts on software development, AI, and building products
