Raghul Baskar profile photo 1 on Tal

Raghul Baskar

Senior Software Engineer @ Yubi | Fintech

Dindigul

4+ years of work experience

Yubi
Oct 20251 yr 1 moPresent

Concentric AI
Jan 20259 mosSep 2025

On-site

• Built and scaled downstream ETL data pipelines from 70K to 10M+ files/day using Python and Java microservices, supporting $23M+ ARR in data ingestion • Implemented Argo Workflows with Kubernetes orchestration, increasing system throughput by 35% (2K to 2.7K files/minute) • Migrated FAISS Index+EFS to VectorDB (Milvus) with HNSW indexing for RAG pipelines, achieving 98.3% query latency reduction (500ms to 65ms) and 1,200 max QPS (up from 100) through fine-tuned indexing, quantization, and metadata filtering • Optimized dense vector clustering by eliminating disk I/O – replacing NumPy arrays with memory-mapped (mmap) structures – reducing p99 latency for million-vector clustering from 1 hour to 4 minutes (93% improvement) • Owned cross-tenant clustering system, improving autolabeling accuracy to 94% and reducing manual labeling time from 3 days to 6 hours, driving new revenue expansion
Samsung R&D Institute India
Jul 20222 yrs 6 mosDec 2024

Noida, Uttar Pradesh, India

• Implemented end-to-end backend server using AWS, Django, Spring Boot, Kubernetes, and Docker, decreasing cost by 47% and doubling performance.Wrote RESTful APIs, Optimized databases, and designed highly scalable distributed systems. • Collaborated with development, testing, deployment, and systems/infrastructure teams using Java, Android, Perforce, and Jira, enhancing project efficiency by 20%. Designed and implemented scalable APIs for Samsung Knox Applications, such as Secure Folder and Dual Messenger, influencing over 1 billion devices. • Collaborated with B2B partner teams to identify system requirements, balance workloads, implement software, engineer solutions, test systems, and configure metrics, improving project completion time by 15%. Enhanced system metrics by optimizing the logic layer in security features, improving performance by 4.5%. • Contributed 23% to the Continuous Integration/Deployment Pipeline through integration, meticulous pull requests, and comprehensive code reviews across 4 OS and 100+ devices. • Developed advanced AI systems using Machine Learning and Deep Learning Algorithms, optimizing battery usage by 3% and reducing costs by 14%
Samsung R&D Institute India
Jan 20226 mosJun 2022

Noida, Uttar Pradesh, India

• Responsible for Debugging in Samsung Email Team. • Worked in Natural Language Processing for a content-based recommendation system in Samsung Email. • Had an opportunity to learn and experience different levels of Android architecture along with various CL/CI tools

Raghul’s AI Stack

claude code
claude code
claude
claude
codex
codex
gemini
gemini
Milvus
Milvus
Pinecone
Pinecone

Education

Masters' Union

User Experience Design, Design

Masters' Union

20232023
Shanmugha Arts, Science, Technology and Research Academy

B.Tech, Electrical and Electronics Engineering

Shanmugha Arts, Science, Technology and Research Academy

20184 yrs2022

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Headline

Senior Software Engineer @ Yubi | Fintech

About

Software Engineer | 3+ Years of Experience | AWS Certified ☁️ Backend Software Engineer specializing in scalable systems and cloud architecture. Expertise in building high-performance applications and distributed systems. 🚀 Passionate about solving complex engineering problems through clean, efficient solutions. 💻 Open to discuss cloud, distributed systems, and backend engineering opportunities. Let's connect! 🤝✨

Location

Dindigul

AI stack

claude code

claude

codex

gemini

Milvus

Pinecone

Work experience

Senior Software Engineer at Yubi, Oct 2025 - Present · 1 yr 1 mo

Software Engineer at Concentric AI, Jan 2025 - Sep 2025 · 9 mos, On-site, • Built and scaled downstream ETL data pipelines from 70K to 10M+ files/day using Python and Java microservices, supporting $23M+ ARR in data ingestion • Implemented Argo Workflows with Kubernetes orchestration, increasing system throughput by 35% (2K to 2.7K files/minute) • Migrated FAISS Index+EFS to VectorDB (Milvus) with HNSW indexing for RAG pipelines, achieving 98.3% query latency reduction (500ms to 65ms) and 1,200 max QPS (up from 100) through fine-tuned indexing, quantization, and metadata filtering • Optimized dense vector clustering by eliminating disk I/O – replacing NumPy arrays with memory-mapped (mmap) structures – reducing p99 latency for million-vector clustering from 1 hour to 4 minutes (93% improvement) • Owned cross-tenant clustering system, improving autolabeling accuracy to 94% and reducing manual labeling time from 3 days to 6 hours, driving new revenue expansion

Software Engineer at Samsung R&D Institute India, Jul 2022 - Dec 2024 · 2 yrs 6 mos, Noida, Uttar Pradesh, India, • Implemented end-to-end backend server using AWS, Django, Spring Boot, Kubernetes, and Docker, decreasing cost by 47% and doubling performance.Wrote RESTful APIs, Optimized databases, and designed highly scalable distributed systems. • Collaborated with development, testing, deployment, and systems/infrastructure teams using Java, Android, Perforce, and Jira, enhancing project efficiency by 20%. Designed and implemented scalable APIs for Samsung Knox Applications, such as Secure Folder and Dual Messenger, influencing over 1 billion devices. • Collaborated with B2B partner teams to identify system requirements, balance workloads, implement software, engineer solutions, test systems, and configure metrics, improving project completion time by 15%. Enhanced system metrics by optimizing the logic layer in security features, improving performance by 4.5%. • Contributed 23% to the Continuous Integration/Deployment Pipeline through integration, meticulous pull requests, and comprehensive code reviews across 4 OS and 100+ devices. • Developed advanced AI systems using Machine Learning and Deep Learning Algorithms, optimizing battery usage by 3% and reducing costs by 14%

Software Engineer Intern at Samsung R&D Institute India, Jan 2022 - Jun 2022 · 6 mos, Noida, Uttar Pradesh, India, • Responsible for Debugging in Samsung Email Team. • Worked in Natural Language Processing for a content-based recommendation system in Samsung Email. • Had an opportunity to learn and experience different levels of Android architecture along with various CL/CI tools

Education

User Experience Design, Design, Masters' Union

B.Tech, Electrical and Electronics Engineering, Shanmugha Arts, Science, Technology and Research Academy