8 years engineering hardware integrations, ML pipelines, and backend systems in Python and Go. Production experience with Brainbit, Brainlink Dual, and proprietary EEG headsets across neurotech and biosignal platforms.
If you're integrating EEG or other biosignal hardware, processing streams at scale, or putting ML inference in front of real users, that's where I plug in. I work as the senior engineer your team doesn't have yet — building the systems that need to actually work in front of users, not just in a notebook.
A focused audit of your biosignal pipeline, hardware integration, or ML deployment. You get a written report with concrete recommendations, risks, and a phased implementation plan. Best entry point if you're unsure what to build first.
Fixed-scope engagement to ship a specific system: EEG SDK integration, real-time biosignal pipeline, ML inference service, or backend infrastructure. Shipped to your repo, your cloud, your team. Includes documentation and handover.
Ongoing engagement where I act as your senior engineer for biosignal, ML, and infrastructure work. For teams that need senior judgment continuously but don't have in-house seniority yet.
Built Python and Go helper libraries supporting Brainbit, Brainlink Dual, and proprietary EEG headsets behind a unified interface. Reduced device onboarding time 40% and improved data-stream reliability across all three platforms.
Designed lightweight Go microservices using Gin and gRPC with Protocol Buffers for inter-service communication across three production platforms. Improved service-to-service latency 20% and enabled independent deployments.
Architected streaming pipelines on GCP Dataflow + Pub/Sub + BigQuery with sub-minute latency. Tuned worker configs and windowing strategies to cut pipeline costs 25% at scale.
Shipped production ML inference using PyTorch, Ultralytics YOLO, and MLflow for defect detection. Explored RAG architectures with Milvus for knowledge retrieval. Full lifecycle: training to deployment to monitoring.
Working remotely with teams globally. Currently building independent projects and shipping work with international clients across neurotech, AI infrastructure, and biosignal systems.
8 years across full-stack engineering, ML deployment, and cloud infrastructure. Most recent work has been production EEG hardware integration, real-time biosignal pipelines, and Go/Python microservices for neurotech platforms. Before that, 50+ engagements across fintech, SaaS, and ML systems.
B.E. from Birla Institute of Technology, Ranchi. DeepLearning.AI specialization in deep learning. Red-team cybersecurity certification from IIT Kharagpur.