Customer delight
Make the useful thing the easy choice.
I treat adoption, support, and confidence as product requirements. The practical test: can a real stakeholder reach value without a training manual?
Technology leadership for customer success, practical AI & efficient scale
I’m Aditya Mishra. I align customer success, practical AI, cost-aware architecture, and hands-on teams to turn ambitious ideas into systems people trust, use, and can afford to scale.
Work experience · 2015 to present
19 roles spanning visual design, Android, enterprise engineering, startup and product leadership, customer success, and applied AI.
Roles, dates, and locations follow the LinkedIn export dated 16 May 2026, with the Focus Realm transition updated directly by Aditya in July 2026. The résumé adds selected outcome and technology detail.Fynd
Source: Supplied LinkedIn export.
Focus Realm
Source: Profile owner update.
Focus Realm
Source: Supplied LinkedIn export and résumé, plus profile owner update.
Joys of Work ITES Pvt. Ltd.
Source: Supplied LinkedIn export.
Brew Joys
Source: Supplied LinkedIn export.
Daksh
Source: Supplied LinkedIn export.
The Disruption Challenge
Source: Supplied LinkedIn export and résumé.
The Disruption Challenge
Source: Supplied LinkedIn export.
Feels Good Creations
Source: Supplied LinkedIn export.
Voice Agent Labs
Source: Supplied LinkedIn export.
Socialpi.ai
Source: Supplied LinkedIn export and résumé.
Contint.Ai
Source: Supplied LinkedIn export.
KHILADI ADDA
Source: Supplied LinkedIn export and résumé.
Accenture
Source: Supplied LinkedIn export.
WINNING TECHNOLOGIES
Source: Supplied LinkedIn export.
TexTimz
Source: Supplied LinkedIn export.
The Disruption Challenge '17 (TDC'17)
Source: Supplied LinkedIn export.
Deft Infosystems Pvt Ltd
Source: Supplied LinkedIn export.
The Campus Connect
Source: Supplied LinkedIn export.
Outcome figures are self-reported in the LinkedIn export dated 16 May 2026 and the supplied résumé.
The value engine
I connect six disciplines employers often need separately: customer success, applied AI, cost and operational efficiency, architecture, leadership, and learning fast under pressure.
Customer delight
I treat adoption, support, and confidence as product requirements. The practical test: can a real stakeholder reach value without a training manual?
Practical AI
From RAG and voice agents to multilingual ASR, OCR, evaluations, and ecommerce automation, I put AI around a real job—not around a demo.
Useful efficiency
I look for shorter delivery loops, resilient queues, focused workflows, and technology choices that reduce operating drag and earn their keep.
Stack fluency
I work across product, interface, mobile, backend, data, cloud, and edge—then keep the architecture legible enough for the next team to own.
Hands-on leadership
Across CEO, CTO, Chief Innovation Officer, advisor, architect, and team-lead roles, I connect strategy to delivery and build for ownership beyond myself.
Learning velocity
My path from visual design to Android, enterprise engineering, product leadership, and AI is a record of learning through real products—not hypothetical exercises.
Working stack / selected
01Product & adoption
02AI & intelligence
03Interfaces
04Platforms
05Scale & reliability
Selected independent builds
5 public releases from 18 mapped builds, prototypes, and research projects.
Racket-sports ecosystem
A connected product for players, hosts, and spectators: discovery, tournaments, pickup play, match logging, wallets, brackets, support, and operations.
Open agent-data format
An authored .pack format for compact, hash-chained, AI-readable knowledge, with a browser converter, validators, benchmarks, and an evidence trail.
Physical-first reading
A reading tracker with shelves private by default, real shelf mapping, series-gap discovery, public shelves, OCR, barcode and ISBN scanning, and reading states.
Honest product quality
A cited UI, UX, accessibility, and performance grader spanning 447 checkpoints, with static, runtime, and assisted review tiers plus HTML and SARIF outputs.
Codebase intelligence
A codebase analyzer that produces AI-readable maps, executive dashboards, diffs, graph queries, watch-mode updates, HTML exports, and an MCP server.
Selected reported outcomes
Roles follow the LinkedIn export dated 16 May 2026, with the Focus Realm transition updated by the profile owner. Figures are self-reported in the supplied résumé and LinkedIn work descriptions.
Chief Technology Officer · Oct 2024 — Aug 2025
Led roughly 10–12 developers, designers, and quality testers, using AI tools to build five LMS products for schools, universities, and hospitality groups serving 120+ locations.
Remote CTO · Jun — Aug 2025
Built a white-label, multi-tenant AI tele-commerce platform with accented voice agents, RAG knowledge bases, queue prioritization, evaluations, and graceful outage recovery; the LinkedIn export self-reports 300k in ARR sold before launch, with no currency specified.
Chief Technology Officer · Sep 2022 — Aug 2025
The supplied résumé records 18 products across Socialpi.ai and Affipi.com—including 12 React micro-frontends and six Node edge services—serving creators, agencies, and D2C brands while controlling cost through data structure and stack choices.
Remote CTO · Sep 2024 — May 2025
Owned the AI logic, interface, infrastructure, deployment, and operations for a multilingual transcription and translation platform using Whisper and OCR.
Project Manager · Mar — Sep 2022
Led 9 developers, 2 designers, 4 testers, and a 4-person admin and support team through a 100-day mobile and web delivery; the résumé, which labels the role Product Manager, reports roughly 70% returning daily users.
Chief Executive Officer · Jul 2018 — present
Built an education platform for early founders and worked across product, UX, engineering, hiring, launch, and scale; served as Remote CTO from 2018 to 2022.
The local lab
A working shelf of R&D, prototypes, concepts, and cited research. Private client material, upstream clones, and starter kits are intentionally excluded.
AI systems
A personalized AI newsroom with Know, Learn, and Implement routing, local-model fallbacks, feedback loops, and an auditable history crawler under active hardening.
AI systems
On-device evaluation and self-improvement loops for coding agents, with deterministic scoring and git keep/discard decisions.
AI systems
Privacy-first OCR that runs PaddleOCR in the browser, with a user-scoped edge correction and learning service.
Developer tools
Evidence-first inventory of AI models, tools, workflows, skills, usage, coverage, and update state across a working machine.
Interaction
A zero-dependency design-system study combining real spring motion, liquid-glass surfaces, and accessible CSS-only fallbacks.
Product
An early, Instagram-first Chromium capture extension and dashboard, with broader social-source adapters still in prototype.
Product
A Remix v3 blog and CMS sample with session authentication, full post CRUD, WYSIWYG editing, CSRF protection, scrypt password hashing, and allowlist sanitization on both client and server.
AI systems
An experimental TypeScript implementation of OpenAI's Symphony specification for dispatching coding agents into isolated workspaces with retries and status reporting.
Research
A cited comparison of Firestore, Supabase, ClickHouse, and PlanetScale with cost, performance, and implementation decision matrices.
Product
A responsive emergency-department product and engineering proposal covering workflows, pricing, delivery phases, and compliance-aware architecture.
Research
Product architecture, competitor research, and interactive scoping artifacts for hospitality LMS, SOP authoring, reinforcement, and compliance workflows.
Product
A prototype for zero-ambiguity freelance delivery: shared plans, Gantt and PERT schedules, commitments, open items, tickets, acceptance windows, and dispute records; named human mediation remains planned.
Developer tools
A source-of-truth product concept for teams building software with multiple AI agents, centered on intent, decisions, tests, security, and provenance.
A few operating beliefs
Useful before impressive. Delight once the fundamentals are dependable.
AI belongs inside a product thesis, not pasted onto the interface.
The real launch is stakeholder adoption. Shipping is only the hand-off.
Fast is good. Right is better. The best teams learn to do both.
The next useful thing
Customer journeys that leak trust. AI ideas that need a real job. Platforms that need rescuing. Teams that need both direction and hands-on momentum.