Manish Chintha Email & Phone Number
AI Engineer - AI Solutions Architect @ Supernal AI
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Manish Chintha Location
- Hyderabad, IN
Manish Chintha Work
- 2026 -now AI Engineer - AI Solutions Architect @
- 2025 -2026 AI Mason - AI Platform Engineer @
- 2025 -2026 Team Lead @ LLM Engineering team @
- 2025 -2025 Senior LLM Reviewer @ SuperAnnotate
- 2025 -2025 Advanced Data Annotator @
- 2024 -2025 Senior LLM Engineer @
- 2024 -2025 Software Engineer in AI Training and Prompt Engineer @
- 2024 -2025 GenAI developer @
- 2024 -2025 Google - Advanced AI Data Trainer @
- 2024 -2024 Global IT Intern @
- 2022 -2022 Developer Catalyst @
- 2022 -2022 Cybersecurity Intern @
- 2022 -2022 Programming Intern @
Manish Chintha Education
- Mahatma Gandhi Institute of Technology
Bachelor of Technology - BTech (Bachelor of Technology - BTech, Computer Science Engineering with Minor in Data Science)
2020-2024 - NSR Impulse Educational Institution
12th pass (Intermediate, MPC)
2018-2020 - Rao’s Educational Institutions
Schooling, SSC (Schooling, SSC)
2012-2018
Manish Chintha Skills
- Artificial Intelligence (AI)
- Deep Learning
- Machine Learning
- Data Science
- R (Programming Language)
- GitHub
- Git
- SQL
- Natural Language Processing (NLP)
- Soft Skills
- Data Analytics
- Software Engineering
- Programming
- Network Design
- Computer Networking
- C (Programming Language)
- C++
- Python (Programming Language)
- Engineering
- Leadership
Manish Chintha Summary
- Manish Chintha, based in Hyderabad, IN, is currently a AI Engineer - AI Solutions Architect at Supernal AI. Manish Chintha brings experience from previous roles at Supernal AI, Turing, SuperAnnotate and Fyxer AI. Manish Chintha holds a 2020 - 2024 Bachelor of Technology - BTech in Bachelor of Technology - BTech, Computer Science Engineering with Minor in Data Science @ Mahatma Gandhi Institute of Technology. With a robust skill set that includes Artificial Intelligence (AI), Deep Learning, Machine Learning, Data Science, R (Programming Language) and more. Manish Chintha has 2 emails on RocketReach.
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