Gajendradhanoliya Dhanoliya

Software Engineer

Delhi, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Developed advanced eKYC and chatbot systems.
  • Expertise in Computer Vision and NLP technologies.
  • Strong foundation in Electrical Engineering from IIT Delhi.
Stackforce AI infers this person is a skilled Software Engineer with expertise in Fintech and SaaS solutions.

Contact

ee1221723@iitd.ac.inLinkedIn

Skills

Core Skills

Computer VisionNatural Language Processing (nlp)Cmos Circuit Design

Other Skills

JWT AuthenticationSoftware DesignEngineeringMicrocontrollers (STM32)Analog & Mixed-Signal Circuit CharacterizationEmbedded SystemsMicrocontroller ProgrammingHardware Testing & DebuggingChatbot DevelopmentPython (Programming Language)OpenCVREST APIsPostgreSQLEnglishResearch Skills

Experience

0 mo
Total Experience
--
Average Tenure
--
Current Experience

Zetheta algorithms private limited

Software Engineer Intern

Jun 2025 – Aug 2025 · 2 mos · Remote

  • Engineered an automated eKYC system with Aadhaar validation, biometric checks, and workflow automation.
  • Developed a Video KYC module using OpenCV with facial recognition and liveness detection for secure verification.
  • Built REST APIs with JWT authentication and integrated them into a PostgreSQL backend.
  • Enhanced the overall reliability and efficiency of the digital verification process.
Computer VisionJWT Authentication

Furnet

Software Engineer Intern

Dec 2024 – Jan 2025 · 1 mo · On-site

  • Developed a production-ready chatbot system for customer query handling using Python and modular backend pipelines.
  • Implemented NLP models for intent recognition, entity extraction, and multi-class text classification.
  • Integrated preprocessing, vectorization, and model inference workflows to improve prediction accuracy and stability.
  • Optimized system performance and scalability through efficient data handling and API-driven architecture.
Software DesignNatural Language Processing (NLP)

Indian institute of technology, delhi

Research Internship

May 2024 – Jul 2024 · 2 mos · On-site

  • Characterized a 200 MHz RC oscillator and bandgap reference in 65 nm CMOS, analyzing PVT variation, stability, and noise behavior.
  • Developed STM32-based embedded control and data-acquisition firmware for automated mixed-signal measurements.
  • Designed an integrated workflow combining CMOS device characterization, embedded instrumentation, and real-time monitoring.
EngineeringCMOS Circuit Design

Education

Indian Institute of Technology, Delhi

Bachelor of Technology - BTech — Electrical Engineering

Jan 2022 – Jan 2026

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