Abhishek Gehlot

Mobile Developer

https://talent.gravityer.com/abhishek-gehlot

Curious

Gehlot Corporation

Key Strengths

Demonstrated interest in mobile development through the 'meetup' project, which uses Dart, Swift, Kotlin, and Objective C.
Experience with Python for various AI/ML-related projects, indicating a strong analytical and problem-solving foundation.
Current role as a Mobile Developer at Gehlot Corporation, aligning with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and diverse, showing initiative and a broad range of interests, particularly in AI/ML and some mobile development. However, the lack of team-based projects or detailed descriptions of collaborative efforts makes it difficult to fully assess cultural fit. The 'meetup' project aligns with mobile development, but many other projects are Python-based AI/ML, which might indicate a broader interest beyond just mobile.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

blogs

January 24, 2026 – Present

blogs — GitHub repository

View Project

iris-agent

January 17, 2026 – Present

Iris Agent is a lightweight, flexible framework for building AI agents in Python. It simplifies the process of creating agents that can use tools, manage memory, and interact with various LLM providers.

View Project

docs

December 6, 2025 – December 6, 2025

docs — GitHub repository

View Project

rag_on_pdf

November 19, 2025 – November 19, 2025

Build a Simple RAG Pipeline on Your Local Computer: Learn RAG from Scratch with Local Embedding Models

View Project

hand_gesture_solar_system

September 1, 2025 – September 1, 2025

A 3D solar system visualization controlled entirely through hand gestures. Navigate between planets with swipe gestures and adjust detail levels using rotary dial motions. Built with Three.js and MediaPipe for real-time hand tracking.

View Project

object_detection_using_vllm

August 29, 2025 – August 29, 2025

Real-time vision demo using SmolVLM with llama.cpp backend

View Project

facial_recognition

August 22, 2025 – August 22, 2025

Simplest real-time facial recognition system built with MediaPipe, FaceNet, and Streamlit. Detect faces, build custom datasets, and identify people instantly from your webcam. Perfect for smart home automation, security systems, and interactive applications.

View Project

smartsense_test

January 8, 2022 – January 8, 2022

smartsense_test — GitHub repository

View Project

meetup

May 3, 2021 – May 5, 2021

meetup — GitHub repository

View Project

smart-gnu

February 12, 2020 – March 15, 2020

smart-gnu — GitHub repository

View Project

Key Strengths

Demonstrated interest in mobile development through the 'meetup' project, which uses Dart, Swift, Kotlin, and Objective C.
Experience with Python for various AI/ML-related projects, indicating a strong analytical and problem-solving foundation.
Current role as a Mobile Developer at Gehlot Corporation, aligning with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Abhishek Gehlot

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit