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About Ankit
Over the past 18 years, I’ve partnered with growth-stage startups and established businesses to architect, build, and deploy business-critical technology platforms from the ground up. As a technology leader and independent consultant, I turn complex requirements across Real Estate, F&B, E-Commerce, Retail, EdTech, and Creator/Influencer Marketing into scalable, high-performance systems.
Having built and scaled a profitable technology consulting practice with consistent three-digit YoY growth, I bridge deep technical execution with business economics. I design systems engineered for scale, reliability, and market growth.
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Core Expertise & Focus Areas:
End-to-End Platform Engineering: Architecture, API integrations, cloud infrastructure, and data pipelines built for high throughput.
Zero-to-One Execution: Translating early-stage concepts into fully operational, production-grade platforms.
Fractional & Strategic Engagements: Partnering directly with CTOs, Founders, and C-suite leaders to execute complex technical roadmaps.
Professional profile
- Location
- India
- Time zone
- Asia/Calcutta
- Work mode
- Remote
- Availability
- Available Now
- Languages
- English
- Typical response
- Within 24 hours
- Available in
- Singapore, United Arab Emirates, Saudi Arabia, United States, Canada, Indonesia, Australia, New Zealand, Sweden, Norway, Finland, United Kingdom
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Proven on the network
Implementation records and publicly available work, where published.
0 AI Deployments delivered. No publicly identified implementations are available to inspect.
03
What Ankit builds
Implementation domains listed on this profile. Evidence-supported items are identified separately below.
Specialisations
Agentic Workflows
AI Agents
Multi-Agent Systems
RAG Systems
Semantic Search
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AI Deployments
Real AI implementations demonstrated through evidence.
No publicly identified Deployments are available to inspect.
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Implementation capabilities
Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.
Evidence-supported
No published evidence linked yet.
Builder declared
- Agentic Workflows
- AI Agents
- Multi-Agent Systems
- RAG Systems
- Semantic Search
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Technology
Technologies listed by the Builder, distinguished by published evidence.
Evidence-supported
No published evidence linked yet.
Builder declared
- Google Cloud
- JavaScript
- MongoDB
- PHP
- PostgreSQL
- Python
- RabbitMQ
- Redis
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Industry experience
Published Deployments support the listed counts. Other industries are Builder declared.
Cross-Industry / Horizontal
Builder declared
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Trust & verification
A closer look at how this profile and its evidence are reviewed.
Community Member
Published evidence is reviewed against the AI Deploy Network Evidence Standard.
How verification works
Verified Builder
Independently reviewed by AI Deploy Labs against the platform Evidence Standard.
How this is verifiedWhat the platform has established, and what remains builder-declared.
- Identity and organisation
- Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
- AI Deployments
- An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
- Business outcomes
- Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
- Evidence
- Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
- Currency
- Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
- Traceability
- Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.
The platform does not independently audit client systems or financial records. How this is verified
Professional record and further evidence
Client Portfolio
Portfolio startedInfluns.com
AI Transformation • Cross-Industry / Horizontal
India2025Architected a token-chained, multi-agent orchestration system that analyzes a brand’s active social media footprint to autonomously generate targeted campaign strategies and creative briefs. Chained intermediate agent outputs directly into vector retrieval pipelines to match and rank high-affinity creator profiles based on campaign context. Enforced strict schema contracts and deterministic validation across token handoffs to eliminate context drift and maintain high precision across sequential reasoning stages.
Ready to discuss your AI implementation?
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