Deep Khivasara
Open to work0 years experienceAI Engineer
AI Engineer with experience in LangGraph, RAG systems, and serverless AWS backends.
Standing Rank
Rank Not Available
Developer Badges
No badges earned yet
Skills & Technologies
38 skillsWork Experience
AWS Cloud Intern
F13 Technologies
- Architected and deployed serverless applications using AWS Lambda, DynamoDB, and API Gateway, reducing infrastructure costs by 15% while maintaining 99.9% uptime via automated monitoring and IAM security controls.
- Engineered and documented production-grade REST APIs with OAuth authentication and rate limiting, achieving 20% reduction in API response time.
- Optimized cloud resource utilization through performance profiling and caching strategies, improving system throughput by 30% and enabling scalable AI-enabled application deployments.
AI Intern
CSRBOX
- Designed and implemented an intelligent chatbot using IBM Watsonx and NLP models with engineered prompt workflows, achieving 92% intent recognition accuracy across 100+ concurrent sessions.
- Integrated Generative AI chatbot APIs with a React frontend, automating 80% of common support queries and reducing customer service workload through agentic task handling.
Projects
Serverless AI Attendance System
- Built end-to-end facial recognition system processing 100+ daily check-ins with 98% accuracy, leveraging AWS Rekognition ML models and DynamoDB for real-time data persistence.
- Reduced attendance processing time by 30% through Base64 image compression and asynchronous API calls, cutting payload sizes by 25% while maintaining recognition precision.
Agentic Gesture Control System
- Developed a real-time computer vision system with 96% gesture classification accuracy using MediaPipe hand-tracking models and a custom preprocessing pipeline, enabling multi-step AI task orchestration via PyAutoGUI.
- Achieved sub-100ms end-to-end latency through multithreading and optimized frame processing with NumPy, demonstrating proficiency in AI workflow experimentation, testing, and evaluation.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Deep Learning-Based Multi-Sensor Fusion for Ecosystem Health Prediction| Springer LNEE, ISRSD-2026
Proposed Cross-Attention Gated Fusion (CAGF) network integrating Sentinel-2 optical, Sentinel-1 SAR, and GEDI LiDAR data. Achieved 92.9% canopy structure accuracy and 81.9% land cover classification.
About Details
Professional Bio
AI Engineer who ships – from LangGraph multi-agent pipelines and RAG systems to serverless AWS backends. Published deep learning research, production deployments, and full-stack cloud experience across AI, backend, and data engineering.
Bachelor of Technology in Computer Science and Engineering in Computer Science and Engineering
G.H. Raisoni College of Engineering (2022 - 2026)