Kushal Seth — Software Engineer
🤝 Collaboration: Open to collaborating on AI/Blockchain MVPs and future-ready products — from problem framing → architecture → build → launch → scale. 🧠 My strength is simple: give me an idea, and I can turn it into a real product. I can own the full technical journey — architecture, backend, APIs, cloud infrastructure, AI workflows, blockchain integration, and production delivery. 🚀 Lead AI Software Architect & hands-on engineering leader (13+ years) building and operating cloud-native SaaS, distributed systems, and AI-driven platforms. 🏗️ I specialize in AI platform architecture end-to-end — data ingestion → pipelines → inference integration → APIs → observability — with a strong focus on event-driven systems and security-by-design for IoT + enterprise environments. 📈 Proven production-scale ownership: • 🌍 50M+ images/month AI processing pipelines (throughput controls, idempotency, retries/DLQ, backpressure) • 🛡️ Security + reliability patterns for 500k+ device fleet • 💶 ~35% infra cost reduction (~€2M/year) via workload + architecture optimization • 🤝 Led multi-country teams (5→40+) 🔐 Security & compliance (NIS2-minded): • 🧩 Embedded NIS2-aligned controls and SOC2/ISO-style practices: secrets management, auditability, access control, threat modeling, and security reviews in architecture gates • 📜 Designed privacy-by-design workflows with traceability and operational guardrails 🤖 GenAI / LLM systems (production): • 🔎 RAG: ingestion → chunking → embeddings → retrieval → grounding (multi-tenant, auth-aware) • 🧠 Context + orchestration: memory strategy, tool-calling workflows, retries/fallbacks • ✅ Quality + safety: eval harness, hallucination tracking, prompt-injection defenses, PII redaction + audit logging • ⚡ Latency + cost: batching, caching, streaming, rate limits, canary/feature-flag rollouts • 🧪 Fine-tuning exposure: SFT via PEFT/LoRA, evaluation gates (DPO/RLHF concepts roadmapped) 🧱 MVP Builder (AI + Blockchain): • ⚙️ I build production-minded AI MVPs fast: multi-tenant APIs, RAG chat, eval/guardrails, observability, and cost controls — designed to scale beyond the demo. • 🔗 I build blockchain MVPs with secure identity + permissions, wallet flows, and auditable event-based backends — focusing on real-world reliability, not hype. • 🧠 I’m strong at turning messy problem statements into shippable systems: architecture, data model, APIs, security, deployment, and a roadmap teams can execute. 🎯 Open to AI Platform / GenAI Systems / Principal Architect roles where architecture meets execution.
Stackforce AI infers this person is a SaaS and AI solutions architect with extensive experience in cloud-native systems.
Experience: 13 yrs 7 mos
Skills
- Ai Platform Architecture
- Cloud Infrastructure
- Ai Communication Platforms
- Microservices Architecture
- Full Stack Development
- Software Development
- Ai Systems
- Software Architecture
Career Highlights
- Architected AI platforms processing over 50M images monthly.
- Drove significant infrastructure cost reductions in cloud environments.
- Led multi-country engineering teams to deliver scalable solutions.
Work Experience
ZEISS Group
Software Architect (2 yrs 2 mos)
Nagarro
Principal Software Development Engineer (2 yrs 4 mos)
BOLD
Lead Full Stack Developer (2 yrs 10 mos)
Full Stack Senior Software Developer (1 yr 4 mos)
Software Developer (1 yr 1 mo)
Aditi Technologies
Software Developer (1 yr 9 mos)
Talisma
Software Development Engineer (2 yrs 1 mo)
Education
BlockChain Workshop IIT Delhi at Generation Blockchain
Bachelor of Technology (B.Tech.) at Dr. A.P.J. Abdul Kalam Technical University
12th at St. Paul's Academy
Xth at St. Paul's Academy
