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Pavithra Manikandan
Intern Full-Stack/Backend Software Engineer specializing in SaaS migrations and NLP
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About
AI/ML practitioner who built an Indian Sign Language recognition system (MediaPipe hand keypoints + CNN/RNN) as an accessibility-focused teaching aid, iterating closely with advocacy groups and educators and reaching 92% accuracy. Also has production-scale data migration experience at Saasgenie, using Kubernetes pod parallelization to migrate 1M+ ITSM records with a 5x throughput gain under API rate limits.
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Key Strengths
- Built and deployed ISL recognition system combining CNN + bidirectional RNN with MediaPipe keypoint tracking
- Improved model accuracy by 20% by integrating CNN for spatial context with RNN sequence learning
- Achieved 92% accuracy on stakeholder-provided test videos for sign language recognition
- Migrated 1M+ records and delivered 5x throughput improvement via Kubernetes pod-level parallelization
- Strong evaluation discipline: defines success metrics (accuracy, hallucination rate, throughput), component + integration testing, regression, scalability, A/B testing
- Effective collaboration with non-technical stakeholders (advocacy groups, sign-language experts, government teachers) using iterative feedback cycles
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