Deepak Chauhan

Founder

New Delhi, Delhi, India13 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Founder of Phenomeny, revolutionizing enterprise operations.
Expert in AI and machine learning from Amazon.
Built autonomous AI systems for retail at Amazon.

Stackforce AI infers this person is a SaaS and AI solutions architect with extensive enterprise experience.

Contact

Skills

Core Skills

Enterprise AiOperational IntelligenceMachine LearningArtificial Intelligence (ai)Ai DevelopmentComputer Vision

Other Skills

Business Process AutomationAI & TechnologyEnterprise OpsExecutive LeadershipPython (Programming Language)Brand ManagementSensor FusionAgentic AI DevelopmentAI Product DevelopmentWorkflow AutomationSales and MarketingAnalytical SkillsData AnalysisBusiness DevelopmentCustomer Relationship Management (CRM)

About

I build AI systems that make enterprises run better. Most growing businesses hit a wall. They have the revenue, the team, the ambition — but their operations are held together by WhatsApp groups, disconnected tools and people manually chasing status updates. The founder loses visibility. Good people burn out on coordination. Decisions get made on stale data. That is the problem I built Phenomeny to solve. Phenomeny is an AI-native operating layer for mid-market enterprises — companies between ₹10Cr and ₹300Cr revenue that have outgrown their systems but are not ready for SAP. We connect what they already use, deploy purpose-built AI Assistants™ across every function, and give leadership real-time visibility into everything happening across their business. We don’t replace people. We remove the work that was never meant for people — the coordination, the status chasing, the manual reporting — so every person in the organisation can focus on what only humans can do. Before Phenomeny, I spent five years at Amazon, working on AI and machine learning systems. That experience showed me what AI-native operations looks like at the most advanced scale in the world. Phenomeny is my effort to bring that clarity to the businesses that run the real economy. If you run a complex, growing business and feel like you’re losing control of your operations — I’d like to talk. deepak@pddt.in | www.pddt.in

Experience

13 yrs 3 mos

Total Experience

2 yrs 7 mos

Average Tenure

3 yrs 3 mos

Current Experience

Phenomeny llp

2 roles

Founder & CEO

Jan 2026 – Present · 5 mos · On-site

AI Operating Systems for Enterprises

Enterprise AIOperational IntelligenceBusiness Process AutomationAI & TechnologyEnterprise OpsExecutive Leadership

Chief Executive Officer

Mar 2023 – Present · 3 yrs 3 mos · On-site

I build AI systems that make enterprises run better.
Most growing businesses hit a wall. They have the revenue, the team, the ambition — but their operations are held together by WhatsApp groups, disconnected tools and people manually chasing status updates. The founder loses visibility. Good people burn out on coordination. Decisions get made on stale data.
That is the problem I built Phenomeny to solve.
Phenomeny is an AI-native operating layer for mid-market enterprises — companies between ₹10Cr and ₹300Cr revenue that have outgrown their systems but are not ready for SAP. We connect what they already use, deploy purpose-built AI Assistants™ across every function, and give leadership real-time visibility into everything happening across their business.
We don’t replace people. We remove the work that was never meant for people — the coordination, the status chasing, the manual reporting — so every person in the organisation can focus on what only humans can do.
Before Phenomeny, I spent five years at Amazon, working on AI and machine learning systems. That experience showed me what AI-native operations looks like at the most advanced scale in the world. Phenomeny is my effort to bring that clarity to the businesses that run the real economy.
If you run a complex, growing business and feel like you’re losing control of your operations — I’d like to talk.
deepak@pddt.in | www.pddt.in

Python (Programming Language)Brand ManagementMachine LearningArtificial Intelligence (AI)

Benlycos pvt ltd

Business Growth Consultant

Sep 2024 – Feb 2026 · 1 yr 5 mos · Delhi, India · Hybrid

Amazon

AI & Innovation

Mar 2018 – Mar 2023 · 5 yrs · Noida · Hybrid

Contributed to the world’s first autonomous AI-powered product initiatives for Amazon Go, "Just Walk Out" retail experience driven by computer vision and sensor fusion.
Transitioned from core operations into high-scale AI development, leveraging deep operational insights to build more effective, reality-grounded autonomous systems.
Developed and deployed AI systems at massive scale, ensuring seamless real-time data processing and system reliability within one of the world's most sophisticated engineering organizations.
Optimized high-concurrency workflows and edge computing protocols, bridging the gap between physical sensor data and digital inventory/payment systems.
Architected solutions for autonomous environments, gaining the expertise in "Agentic" behavior that now informs the AI Assistants™ at Phenomeny.

Pcl technology

Business Development & Systems Lead

Jun 2016 – Feb 2018 · 1 yr 8 mos · Gurugram · On-site

Helped in driving international market expansion for IT product suites across Singapore, Malaysia, and Australia, consistently exceeding sales targets through a solution-oriented approach.
Technically optimized the internal CRM and ERP systems, implementing custom changes that directly increased team efficiency and data accuracy.
Bridged the gap between sales operations and technical infrastructure, streamlining the lead-to-conversion pipeline for the APAC region.
Conducted market analysis and stakeholder engagements in diverse international territories, gaining critical insights into global enterprise technology needs.

Personiv

Marketing Analyst

Dec 2015 – Mar 2016 · 3 mos · Gurugram · On-site

Developed and optimized the sales process technology stack for AT&T U-verse, focusing on the seamless integration of CRM and ERP systems.
Engineered custom CRM modules to streamline lead management and sales workflows, enabling faster customer acquisition for one of the world's largest telecom providers.
Bridged technical gaps between sales operations and backend ERPs, ensuring real-time data flow and reducing manual bottlenecks in the order-to-fulfillment cycle.
Collaborated with cross-functional teams to translate complex sales requirements into scalable technical solutions, improving overall agent productivity and data accuracy.

Flipkart internet pvt ltd

Technical SME (Internal Tools & ERP)

Oct 2013 – Nov 2015 · 2 yrs 1 mo · banglore · Hybrid

At Flipkart, you moved from being an external consultant to an internal engineer during their most explosive growth phase. Focusing on "Smart Assist" is powerful because it proves you have been building "single pane of glass" solutions for over a decade.
Developed and deployed "Smart Assist", Flipkart’s proprietary "single pane of glass" ERP system designed to unify fragmented operational data into one centralized interface.
Engineered backend infrastructure for large-scale distributed systems, ensuring platform stability and data integrity during high-velocity growth periods.
Collaborated across supply chain and logistics teams to integrate disparate data sources, reducing manual coordination and improving real-time visibility for fulfillment operations.
Optimized internal workflows by building custom modules that translated complex business requirements into scalable technical solutions.

Aditya birla minacs world wide ltd

Associate - Technical (ERP)

Jun 2012 – Sep 2013 · 1 yr 3 mos · banglore · On-site

Analyzed and identified functional gaps in the "Flow" ERP system used by Flipkart to improve operational efficiency .
Collaborated with the Customer Relationship Management (CRM) team to document pain points and translate user struggles into technical requirements.
Implemented minor technical fixes and customizations within the ERP framework to resolve workflow bottlenecks for front-end teams.
Supported large-scale enterprise technology environments, gaining early exposure to complex, multi-business-unit systems