Aaditya Waghamare
@aadityawaghamare
AI/ML engineer building multi-agent LLM orchestration and real-time computer vision pipelines for fast, accurate results.
What I'm looking for
I built a 24-agent LangGraph orchestration system for deep research, dialing multi-step query resolution to under 90 seconds (p95) and improving accuracy by 40% using a 50-question evaluation harness.
I also engineered a real-time Indian Sign Language gesture recognition pipeline with MediaPipe 3D hand landmarks, reaching 97–100% accuracy at 25–30 FPS while cutting feature noise and speeding training via OneCycleLR, batch scaling, and CUDA-pinned DataLoaders.
Experience
Work history, roles, and key accomplishments
Graduate Engineer Trainee
Yoo•ee Tech LLP
Oct 2024 - Jan 2025 (3 months)
Developed and deployed 2 responsive landing pages using React.js and JavaScript, improving deployment build time through reusable component architecture. Partnered on full-stack system design covering RESTful API integration, frontend structure, and backend logic.
Education
Degrees, certifications, and relevant coursework
Pimpri Chinchwad College of Engineering & Research
Bachelor of Engineering, Information Technology
2022 - 2026
Grade: 8.88/10
Bachelor of Engineering in Information Technology with a CGPA of 8.88/10.
Availability
Location
Authorized to work in
Job categories
Skills
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