10+ years of engineering, product & sales · 9+ at IBM · 5 progressive roles.
I architect enterprise AI systems at IBM — watsonx and Cloud Pak deployments for APAC's largest banks, telcos, GSIs, and governments, from reference architecture down to the install scripts. I turn the hardest systems into stunning POCs that close deals, then own the client deployments end-to-end — orchestrating partners, IBM Expert Labs, product, and support to land them in production.
On weekends: BLE wearables with ADPCM streaming at <300ms first-audio · multilingual voice bots with in-memory graph RAG (12–15× faster than Chroma) · a clinical research engine mapping symptom ↔ gene ↔ drug correlations from biomedical literature. Same muscle, different scale — whether the budget is $5M or zero, I ship what I design.
$5.2M+enterprise AI deal won (2026)
4.7B/50dtokens on average — AI-native engineering
4,000/dayusers — public health platform shipped in 3 weeks (2021)
US Patent#19/452620 — 'Sustainable Charging Station Selection' (2026)
What I do
Enterprise systemsDistributed platformsAgentic AICloud platform engConsumer apps · firmware · edge AIProduct ownership & unit economicsPersuasive design patternsGTM architecture for enterprise AIAir-gapped & on-prem AI infraSolution architectureDeveloper and community advocacyRed Hat Certified Specialist · Containers & Kubernetes (EX-180)
Career so far — every move a deliberate scope expansion
2016–2017 · Product Developer at Axelta Systems & Loop Reality, Hyderabad — stereo-vision rack management + traffic-density billboard scoring (OpenCV); ambient-monitoring hardware for refrigerated trucks (Arduino, ESP, embedded C); Android OS mods for custom hardware; VR-cycle induction-braking control + universal BLE vital-signs module integrated with Unreal Engine.
2017–2019 · 2 yrs
Solution Architect
CTO Executive Team · IBM
Architected internal Language Data crowdsourcing platform feeding IBM's NLP training
Brought in 14 new enterprise logos, $210K USD direct revenue
Shipped Combat COVID in 3 weeks — 4,000 users/day, integrated into ICMR COVID Assist. IBM Global Research Accomplishment
Architected ML pipeline with drift detection + continuous retraining on Kubernetes (CP4D/OpenShift)
First joint CP4D + CP4S enablements in region — became internal playbook. Outstanding Innovator Award (2020)
2022–present · 3.5 yrs & counting
Advisory CSM Architect · watsonx APAC
Cloud & AI Solutions Lead · Partner Ecosystem Lead
Architected IBM's first-of-a-kind watsonx.governance deployment (2025) — adopted as an IBM Reference architecture across APAC. Separately, watsonx Orchestrate agentic platforms at GSIs — SAP PO processing (vision-LLM), SharePoint integration, ERM, vendor onboarding
Technical lead for 22+ enterprise accounts across India, Sri Lanka, and Singapore (BFSI / Telecom / Healthcare / Mfg / Govt / GSI). Also lead for partner enablement, Data & AI User Groups, CSM newsletter, and the CSM portal
Things I've shipped — systems I designed and delivered
Drop a folder — it becomes a live customer demo. Plugin auto-discovery + runtime esbuild, Orchestrate-first LLM routing (timeout, caching, retryable 503s), 3-tier AES-256-GCM credentials, 29-method pluggable IStore. Hosts 12 verticalized demos (BFSI fraud, Telecom churn, Healthcare claims, Mfg predictive-maint, Govt citizen-service, etc.) used by IBM Sales / GSI Labs APAC.
The move: treated the runtime bundle as a plugin. Dropping a folder triggers esbuild → plugin manifest → auto-mount. 12 verticalized demos, one platform, zero forks.
Oxygen / beds / blood locator. Peaked at 4,000 users/day, integrated into ICMR's COVID Assist. IBM Global Research Accomplishment.
The move: crowdsourced leads went through a dedup + staleness-decay queue before surfacing, so one fake entry couldn't poison the map; outbound rate-limited to stop hospital flooding.
Agentic AI · full-stack
Orchestrate — full-stack agentic
watsonx Orchestrate · MCP · FastMCP
Infra control plane (14 ops as MCP tools) · business workflow (vision-LLM w/ graceful fallback) · 6-agent supervisor · LLM routing fabric with retryable 503s.
The move: treated cloud infra itself as a first-class tool surface — 14 control-plane APIs wrapped as MCP so agents provision, not just advise.
Connected cars · India's largest automaker · live in production
A connected-cars data platform
Kafka · Spark · Hadoop · IBM Cloud Pak for Data · real-time telemetry
Data-lake and analytics architecture for India's largest automotive manufacturer — ingesting connected-car telemetry across the fleet, powering diagnostics, predictive maintenance, and fleet operations. Live in production.
The move: designed the ingest + stream-processing + analytics tiers so the OEM could run real-time fleet ops and historical deep-dives on the same lake without forking pipelines.
The move: 3-vibe taxonomy (not 40 categories) to stop discovery fragmentation; nudge queue is capacity-aware — if you've been pinged recently, the system holds back instead of spamming.
Always-on memory trigger. VAD wakes it only when you speak, IMU double-tap gesture. Backend: WhisperX (STT + diarization) + Silero VAD + FastAPI summarizer.
The move: firmware-side VAD + 8:1 ADPCM over BLE 5.0 means pendant transmits only speech, not audio. Double-tap IMU gesture = no visible button, no social stigma.
A few more worth naming — ibmcloudtoolkit: a 14-tool MCP server wrapping IBM Cloud provisioning APIs (VSIs, buckets, clusters, IAM, networks) so Orchestrate agents provision infra, not just describe it; open-source shell installers for IBM Cloud Paks (CP4D / CP4I / CP4App / CP4MCM / CP4Auto / IAF / Portworx); end-to-end MLOps on Cloud Pak for Data + OpenShift — drift detection, automated retraining, and model lifecycle across tier-1 banks (first joint CP4D + CP4S enablements in region, became internal playbook); air-gapped on-prem watsonx.ai + NVIDIA GPU-cluster deployments for APAC telcos; on-demand LLM batch-processing on NVIDIA NIM + HPC for bursty inference. 87 public GitHub repos for the rest.
Python (FastAPI, Flask) · Node.js 20 (Express 5, ESM) · TypeScript · Flutter/Dart · C/C++ firmware · IBM Z Systems · HPC clusters · NVIDIA Jetson Orin NX · nRF52840 (BLE 5.0, on-device VAD, ADPCM)
Recognition — consistency over peaks
IBM 100% Club — 4 consecutive years (2022–2025)
US Patent #19/452620 — "Sustainable Charging Station Selection for Mobile Computer Systems" · Docket P202402359US01 (granted 2026)
IBM Global Research Accomplishment — Combat COVID (2021)
IBM Call for Code grant recipient — P3DR Nepal (earthquake-response app piloted by Nepalese Government)
Top CSR contributor — IBM (2019, 2021)
watsonx Challenge Winner · Q1 Client Reference Story Winner · TechXchange Market Challenge — ISA 2nd place (2025)
Responsible AI Agents BlogBuster — winner (2025)
33 BluePoints recognitions · 2,280+ points — from Directors down. Described by CSM Market Leader as "a standout expert in Data & AI."
Featured in APAC-wide "Mission Possible" comms by Hans Dekkers — GM & VP, IBM Technology Sales APAC
IBM Code Pattern contributor — reverse-image-search, IotImageAnalysis (adopted as IBM educational content), and other production GenAI samples in IBM's official open-source catalog (pre-watsonx era)
Returning intern-mentor (2025 + 2026 cohorts) · EduBot AI supervisor · cross-team architecture review lead
Speaking & thought leadership
14+ named external conference stages — IBM Think (×5), IBM TechXchange (×2), CYPHER (India's largest AI conference, 1,100+), IBM Dev Day (×9+, AI Track Workshop Lead), Sterling OMS User Group, Gartner India, IBM Data & AI User Group Mumbai (I organized it), Infosys External Speaker Series. 90+ total talks; max live audience 3,000+; Speaker NPS 9.6.
Judge — HackOn Agentic AI (1,140 devs, 220+ teams). SME — NatWest AI for IT Hackathon. Organized IBM Call for Code across Bangalore, Pune, Hyderabad, Odisha, Kerala. Authored IBM TechXchange 2024 lab — "Governing Private LLM Deployments."
Original research & thought leadership — differential-privacy pipeline for MaaS360 device data (analytics without exposing individual device identity); neural-pattern-mapping study for puzzle learning in mice — University of Toronto collaboration, applying ML to neuroscience data.
Education & certs
BTech Electronics & Communication — MVGR College of Engineering (2016) · IEEE Student Chapter President (2 years) · Solar car team (4th at Maruti Suzuki Solar Challenge finals)
BA Psychology (2021–2023) & certified counsellor — completed alongside full-time IBM. Consent, capacity, and nudge-design show up in my consumer work (capacity-as-feature, behavioral nudges, consent-first recording).
IBM L4 Certified across watsonx portfolio · watsonx.ai Practitioner Advanced · API-led Integration Practitioner Advanced · IBM Quantum Ambassador · Quantum Algorithms · Guardium (10+ IBM technical badges) · advancing to L5 Practitioner Mastery
Full write-ups, diagrams, and demos → krishnac7.com