Sreekar Reddy

Data Scientist

https://talent.gravityer.com/sreekar-reddy-1

Sydney, New South Wales, AustraliaMember since June 23, 2026

Key Strengths

Demonstrated experience with Python for AI/ML applications, including OpenAI CLIP model and Claude API.
Proficiency in developing AI-powered agents and applications (e.g., candidate research agent, Gmail agent).
Experience with deep learning projects, specifically in distracted driver detection using CNNs.
Familiarity with modern web technologies (React, Next.js, TypeScript) for building AI-driven web apps.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong interest in AI/ML and web development. While there's a clear alignment with technical skills for a Data Scientist role, the diversity of projects leans heavily into application development rather than pure data science research or large-scale data engineering. The lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaborative cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on practical application and problem-solving.

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

scout

April 29, 2026 – Present

MCP-native safety gate for AI-written code: review repos, prove findings, run repair agents, score patches, and export Codex-ready receipts

View Project

scout-target-repo

April 29, 2026 – Present

Tiny deliberately flawed API used to demo Scout against AI-code failure modes.

View Project

ppp-candidate-briefing-agent

March 16, 2026 – Present

AI-powered candidate research agent for executive search. Automates briefing generation from CSV input using Claude API with public-source evidence gathering. Built for Platinum Pacific Partners.

View Project

esreekarreddy

March 6, 2026 – Present

GitHub profile README and selected work for Sreekar Reddy

View Project

driver-behaviour-detection

March 6, 2026 – Present

A Python PoC using OpenAI's CLIP model to detect distracted driving behaviors in real-time video.

View Project

DriveSentinels

February 25, 2026 – Present

42028 Deep Learning and CNN project for detecting distracted driver behavior

View Project

connectonion-mail-agent-demo

January 25, 2026 – Present

AI-powered Gmail agent with unique features: contact intelligence, voice email, relationship tracking, and weekly analytics. Built with ConnectOnion.

View Project

tutor10x-bookingwolf

January 19, 2026 – Present

tutor10x-bookingwolf — repository

View Project

connectonion-demo-agent

January 11, 2026 – Present

ConnectOnion demo: function tools, Memory, llm_do, custom metrics plugin with event hooks

View Project

google-antigravity-test-projects

November 19, 2025 – Present

A collection of modern web projects showcasing AI apps, creative games, and productivity tools. Features weather app with Gemini AI, P2P file sharing, video calling, browser analytics, games, and more. Built with React, Next.js, TypeScript, and WebRTC.

View Project

Key Strengths

Demonstrated experience with Python for AI/ML applications, including OpenAI CLIP model and Claude API.
Proficiency in developing AI-powered agents and applications (e.g., candidate research agent, Gmail agent).
Experience with deep learning projects, specifically in distracted driver detection using CNNs.
Familiarity with modern web technologies (React, Next.js, TypeScript) for building AI-driven web apps.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on practical application and problem-solving.

Sreekar Reddy

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit