Abhishek Nair-Hands-on Engineering Lead
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Experience
Fullstack Developer
DAMALO GmbH
- Own full-stack development of an AI-native enterprise platform built on TypeScript, React, Vite, tRPC, Hono, and PostgreSQL, delivering AI-powered consulting workflows to B2B clients.
- Designed and shipped a multi-agent AI system using ReAct framework and Claude skills-style workflow patterns, including an intelligent PM assistant with rich system prompts, slash commands, tool integrations, and streaming chat UI.
- Architected an LLM evaluation framework: rubric-based LLM-as-judge, golden datasets, regression testing, and automated quality gating — ensuring consistent AI output quality at scale.
- Integrated LangFuse for end-to-end LLM tracing, conversation replays, and evaluation pipelines, enabling data-driven prompt optimisation that reduced token costs and response variance.
- Built with Drizzle ORM, pgvector, and knowledge graphs for structured data access, semantic search, and relationship-aware AI reasoning across the platform.
- Led TanStack React Query migration across the application — replacing manual state management with centralised caching and automatic refetching, reducing data-fetching boilerplate significantly.
- Practiced AI-native development throughout: Claude Code, Codex, Perplexity SDK, and LLM-assisted testing across the full development lifecycle. Deployed on Vercel + Azure ACA with Biome for linting/formatting.
Robotics Compliance/Engineering Lead
Bearcover GmbH
- Owned the technical roadmap and architecture for a patient-monitoring platform (robot, cloud, dashboards), aligning founders, ops, and engineering around measurable delivery milestones.
- Led a 7-person cross-functional team (frontend/backend/embedded); set engineering standards, delivery cadence, hiring/onboarding, and unblocked execution end-to-end.
- Shipped real-time telemetry and operations UX (Angular + TypeScript/JavaScript, WebSockets), achieving <100ms sensor-stream latency even under poor network conditions. Robot side powered by Flask API + WebSocket for ROS data streaming.
- Established production fundamentals (CI/CD, test strategy, release discipline, health checks, alerting), reducing hardware incidents 15 → 3 in 6 months.
- Built a human-in-the-loop AI improvement loop for radar-based patient-state detection (sleep/breathing/movement/falls), improving model performance ~30–40% in 2–3 months via correction→retrain triggers.
- Led CE certification work (FMEA workshops, safety interlocks, technical documentation), ensuring audit-ready engineering in a regulated environment.
- Adopted AI-native development workflows using Codex and Cursor agents for accelerated development and code review.
Co-Founder & Technical Lead
VoltVogel UG
- Co-founded the venture and served as technical backbone: owned architecture, stack decisions, and roadmap; shipped MVP to pilot deployments with rapid iteration cycles.
- Built the full product stack end-to-end (TypeScript/Vue, Python/FastAPI, GCP, edge/robotics integration) including deployment automation and telemetry.
- Made build-vs-buy decisions across hosting, storage, monitoring, and robotics middleware; optimized for speed early, then hardened reliability for production pilots.
- Delivered computer-vision docking pipeline achieving ~95% autonomous docking accuracy, validated in field trials and deployed on edge devices.
- Adopted AI-native development early: agentic workflows, LLM-assisted code generation, and automated testing pipelines from the initial MVP stage.
- Supported fundraising with technical milestones and demos; helped secure €250k+ (grants/convertibles).
Lead AI Software Developer
CarbonFreed GmbH
- Designed and developed the architecture and built the team for all AI services added to the platform; owned delivery, stakeholder communication, and customer go-live.
- Built a RAG-powered chatbot over certification norms with guardrails via system prompts + validation + grounding; achieved 92% customer satisfaction (~9/10 answers rated accurate).
- Designed a LangGraph validation workflow that integrated data from forms, technical schematics, and the platform, automatically cross-checking against requirements and norms, with human-in-the-loop exception routing. Scaled to 50k+ documents/month at 99.9% uptime.
- Trained multiple document extraction models and applied few-shot learning to extract electrical components from schematics, reducing manual review ~80%.
- Implemented ML engineering rigor: MLflow tracking, model registry/versioning, and CI/CD with performance gating; improved issue turnaround ~25% and reduced regressions
Software Developer in Electronic Verification
Bertrandt AG
- Developed OpenCV routines to verify haptic-sensor alignment on robotic arms; automated test scripts in Python to accelerate QA cycles.
- Created RESTful endpoints in Flask to trigger and collect test-bench diagnostics, integrating with DOORS and JIRA workflows.
- Wrote test reports, reviewed release builds, and collaborated with software QA teams.
Deployment Engineer / Technical Operations Manager
Enway GmbH
- Conducted SLAM and GNSS/IMU sensor-fusion experiments; improved localization RMSE by 15% through tuned EKF pipelines.
- Built Python data-collection tools for 3D-LiDAR backpack mapping missions; processed point clouds and extracted features for map-optimization.
- Automated deployment scripts; managed container lifecycles.
- Coordinated field trials; provided feedback loops to control system optimisation and tuning.
Masterand
MAN Energy Solutions SE
- Applied FFT and advanced signal-processing in MATLAB to extract blade-vibration modes; validated with ANSYS simulation results.
- Built a MATLAB GUI for interactive mode-shape visualization and automated data export for further AI-based anomaly detection.
- Proposed a vision-guided turntable and OpenCV routines to automate target tracking in future test-bench upgrades.
Assistant Manager
Premier Infra Pvt. Ltd.
- Coordinated technician teams, preventive maintenance, and field operations under extreme conditions.
- Implemented Flask-based maintenance dashboards; scheduled daily ETL jobs via Python cron scripts.
- Designed PostgreSQL schemas and optimized queries for large-volume sensor logs.
Assistant Manager
Monnet Ispat Pvt. Ltd.
- Built services interfacing with PLCs over OPC-UA to stream real-time plant metrics.
- Developed REST endpoints for monitoring; logged data in database for later analysis.
- Worked on electrical layout validation and field deployment of control systems.
Industry Experience
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Experienced in Information Technology, Manufacturing, Healthcare, Metals and Mining, Automotive, and Energy.
Business Area Experience
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Experienced in Information Technology, Product Development, Research and Development, Quality Assurance, Operations, and Project Management.
Summary
I am a hands-on engineering lead with over five years of experience in architecting robust AI solutions. I have worked on document-intelligence, vision, and conversational pipelines, using technologies like LangChain, Azure ML, HuggingFace, and Kafka to deliver measurable improvements such as boosted OCR accuracy and scaled inference services.
I have also integrated AI into robotics and IoT systems, built full-stack products, and led cross-functional teams to build resilient platforms. My strengths include designing automated pipelines, reducing costs, and enhancing overall performance while maintaining high system reliability.
Skills
- Nlp & Document Ai: Azure Cognitive Services, Openai, Anthropic
- Computer Vision: Opencv, Pytorch, Custom Cv Pipelines
- Frameworks & Apis: Langchain, Ollama, Fastapi, Rest, Websocket
- Orchestration & Infra: Docker, Helm, Terraform, Kubernetes, Aks
- Messaging & Data: Kafka, Rabbitmq, Mqtt, Vectordb, Mongodb, Sql
- Ci/Cd & Devops: Jenkins, Github Actions, Helm Charts
- Agile/Scrum & Metrics: Kpi Tracking, Sprint Planning
Languages
Education
HTW Berlin
Master of Science · Mechanical Engineering · Berlin, Germany
GGSIPU New Delhi
Bachelor of Technology · Mechanical and Automation Engineering · New Delhi, India
Certifications & licenses
Data Science Certification
SPICED Academy
Statistics
Experience
Global Experience
Expertise
Qualifications
Profile
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