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Manas Sankhla

@manassankhla

Message

I build responsible machine-learning and GenAI systems for real-time, secure impact.

India

Message

What I'm looking for

I’m looking to build responsible GenAI and machine-learning systems—RAG pipelines, real-time dashboards, and computer-vision models—with strong accuracy and privacy/compliance, delivering clear business impact.

I’m a student-focused builder of machine-learning and GenAI solutions, with hands-on internship experience delivering measurable results. At DRDO, I built a real-time facial emotion detection system using CNN architectures (ResNet-50, EfficientNet-B0) with OpenCV & MediaPipe, achieving 80% accuracy and 20+ FPS live inference.

I also develop end-to-end pipelines and deploy production-style workflows. As a Consulting Analyst Intern at Echo Earth, I used SQL for SKU optimization and segmentation, ran A/B testing and RCA to improve engagement and conversion, and generated INR 10L+ revenue through international hemp exports—while projects like a supervised ML fraud detector (99.72% accuracy) and a GenAI Banking Assistant reinforced my focus on responsible AI, privacy, and compliance.

Experience

Work history, roles, and key accomplishments

Summer Intern

DRDO

May 2025 - Jul 2025 (2 months)

Built a real-time facial emotion detection system using CNNs (ResNet-50, EfficientNet-B0) integrated with OpenCV and MediaPipe, achieving 20+ FPS live inference and 80% accuracy. Designed an end-to-end ML pipeline with fine-tuning and regularization to improve accuracy by 30%, reaching macro F1-score of 0.71–0.76 and ROC-AUC of 0.90–0.94.

CNN EfficientNetB0 OpenCV Mediapipe Fine Tuning Stratified K Fold Validation Batch Normalization Adam Optimizer ROC AUC

Consulting Analyst Intern

Echo Earth

May 2023 - Jul 2023 (2 months)

Analyzed customer and sales data using SQL to support SKU optimization, customer segmentation, and market targeting across UAE, Australia, and Egypt, including product–market fit strategy. Conducted A/B testing and root-cause analysis that improved engagement by 30% and conversion rates, and generated INR 10L+ revenue through international hemp product exports.

SQL Customer Segmentation SKU Strategy Targeting Product Market Fit A B Testing Root Cause Analysis Data Analysis