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Software Engineer focused on Applied AI, production ML systems, AI agents, RAG, and ML infrastructure.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Cimpress · Harvard / Mass Eye & Ear · Northeastern University
Data Scientist
June 29, 2026 – Present
abhinavdev24
April 28, 2026 – Present
Applied AI Software Engineer · Production ML Systems · AI Agents · RAG · ML Infrastructure
View Projectresearch-rag
April 28, 2026 – Present
Production-style RAG agent over 1000 QASPER scientific papers
View Projectkokoro-cli
April 13, 2026 – Present
Local Kokoro TTS CLI for Debian - converts text to OGG audio on-device using the Kokoro 82M ONNX model.
View Projectdma-project-fitsense-ai
March 22, 2026 – Present
Production-ready Streamlit dashboard for FitSense AI fitness tracking database with dual MySQL/MongoDB support
View ProjectCultural Fit Analysis
The candidate shows a strong passion for AI/ML through numerous personal projects, which aligns well with an innovative and tech-driven culture. The diversity of projects (from personal trainers to RAG agents and TTS systems) suggests a broad interest and willingness to explore different domains within AI. However, the lack of team-based or open-source contributions in the provided project list makes it difficult to fully assess collaborative cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive and self-driven individual, but there is no direct assessment of collaboration, communication, or problem-solving in a team context.