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Director of Sales with 9+ years in AI Strategy & Data Consulting and Pre-Sales Leadership
With over a decade of experience, I have led AI and Data pre-sales initiatives that converted into multi-million-dollar won bids across Indian government, PSUs, and enterprise clients globally, consistently achieving L1 positions and scoring above 90 marks in technical evaluations. I specialise in Artificial Intelligence solutions covering Agentic AI, Machine Learning, Decision Intelligence, and Data Intelligence solutions within Data Fabric and MDM strategy, shaping each engagement from the Pre-RFP stage to LoA through BOQ engineering, capacity planning, commercial positioning, and strategic solution design. I also lead PoCs, executive pitches, and solution demonstrations that help shape customer vision and influence engagements from early-stage consulting through RFP creation and final bid positioning. I work at the intersection of strategic consulting, solutioning, and delivery, collaborating closely with engineering and delivery teams to ensure every solution we propose is grounded in execution feasibility and aligned to long-term tangible business outcomes and investment value.
Universal College of Engineering
Bachelor of Engineering · Civil Engineering
August 1, 2014 – June 30, 2020
Amnex Infotechnologies Private Limited
Manager & Vertical Lead: AI & Data Fabric (Core) - Pre-Sales
April 1, 2025 – Present
Mumbai, Maharashtra, India
Datamatics Global Service Private Limited.
Team Lead: Analytics & Research (IT)
January 1, 2023 – March 1, 2025
Mumbai, Maharashtra, India
Amazon Development Centre (India) Pvt. Ltd.
Associate Advisor
April 1, 2022 – January 1, 2023
Mumbai, Maharashtra, India
Amazon Development Centre (India) Pvt. Ltd.
Junior Associate
January 1, 2021 – April 1, 2022
Mumbai, Maharashtra, India
Shadowfax Technologies Pvt. Ltd.
Business Development Executive
September 1, 2020 – December 1, 2020
Mumbai, Maharashtra, India
Siyaram Developers & Consultants
Senior Engineer: Advisory, Commercial & Bid
March 1, 2017 – August 1, 2020
Mumbai, Maharashtra, India
Agentic AI Pre-Sales Orchestration Platform (AMNEX)
April 1, 2025 – Present
Design an autonomous multi-agent system to orchestrate end-to-end bid execution, reducing dependency on large cross-functional teams and accelerating delivery timelines. Built a Master Orchestrator Agent to coordinate bid lifecycle execution across domains. Developed specialized agents for solution design, pricing, WBS, architecture, and risk assessment. Implemented parallel execution workflows with RAG-based contextual intelligence and simulation-based validation. Reduced bid cycle time by 70-80% (3 weeks to ~5–7 days). Reduced dependency on bid teams by ~50%. Enabled 3x scalability in parallel bid execution. This platform transforms pre-sales execution into a scalable, AI-driven orchestration model. It reduces coordination overhead, accelerates deal pursuit cycles, and enables organizations to respond to more opportunities without proportionally increasing team size.
Agentic AI Canteen Management Platform (AMNEX)
April 1, 2025 – Present
Create an AI-enabled operational platform to optimize canteen management through real-time occupancy tracking, automation, and predictive demand handling. Integrated IoT-based occupancy tracking to monitor real-time footfall and demand patterns. Developed automated payment, coupon, and queue optimization systems driven by AI models. Implemented conversational AI and agent-based grievance resolution workflows to automate service support. Reduced waiting time by 40-60%. Reduced manual administrative effort by 50-70%. Improved user satisfaction by 25-35%. This initiative modernizes facility operations into an intelligent, self-optimizing system. It reduces operational inefficiencies, improves user experience, and enables scalable automation of large workforce catering environments.
Autonomous Off-Grid Agentic Developer System (AMNEX)
April 1, 2025 – Present
Redesign the O&M operating model to minimize onsite dependency by enabling AI agents to perform routine operational, development, and support tasks, allowing a single skilled resource to supervise multiple functions. Designed an agentic operating model where AI agents handle routine O&M tasks such as monitoring, troubleshooting, scripting, and basic fixes. Structured a supervisory human-in-the-loop layer where one skilled engineer oversees multiple automated workflows instead of direct execution ownership. Implemented distributed execution agents with validation logic to ensure operational continuity, issue detection, and self-healing capability across environments, including offline deployments. Reduced onsite manpower dependency by 50-70% through agent-led task execution. Improved operational throughput by 2-3x through parallelized O&M execution across autonomous agents. Reduced operational cost per project by 30–45% via optimized resource utilization and reduced staffing requirements. This initiative transforms traditional O&M delivery from a manpower-intensive model into a lean, AI-augmented operating structure. It significantly reduces onsite staffing requirements while maintaining or improving service reliability. Strategically, it elevates engineers from execution roles to supervisory and governance functions, enabling scalable delivery across multiple accounts and materially reducing long-term managed services and infrastructure operations costs.
Open-Ended Coding Tool
January 1, 2023 – March 1, 2025
Designed an AI-powered solution to automate coding of open-ended survey responses and reduce manual research effort.
Brand Reputation Survey Research Tool
January 1, 2023 – March 1, 2025
Built an AI-driven platform for analysing brand reputation surveys and generating real-time business insights.
Market Survey Analytics Tool
January 1, 2023 – March 1, 2025
Developed a platform to streamline survey design, execution, and analytics workflows for market research programs.
Sentiment Analytics Tool
January 1, 2023 – March 1, 2025
Created an AI-based sentiment analytics platform to interpret consumer feedback and behavioural trends.
Advertisement Survey Tool
January 1, 2023 – March 1, 2025
Automated advertisement performance survey analysis with real-time reporting and business intelligence capabilities.
New Product Strategist Tool
January 1, 2023 – March 1, 2025
Designed an AI-led forecasting and consumer intelligence solution for new product launch strategy.
AI-Focused Pre-Sales Proposal Framework (DATAMATICS)
January 1, 2023 – March 1, 2025
Create an AI-enabled framework to standardize and accelerate proposal creation while improving win probability and reducing SME effort in RFP response cycles. Developed an AI-based RFP interpretation engine to break down requirements into structured solution components. Built a reusable enterprise knowledge base containing past proposals, solution accelerators, and pricing patterns. Implemented automated proposal generation with embedded win-theme and commercial positioning logic supported by human validation. Reduced proposal creation time by 60-70% (5–7 days to ~1-2 days). Increased bid throughput by ~40% per month. Improved win probability by 15-20% through structured solution alignment. This initiative transforms pre-sales from a resource-intensive, manual workflow into a scalable AI-assisted production system. It reduces dependency on senior SMEs, increases bid velocity, and ensures consistent commercial and technical alignment across proposals, directly improving revenue conversion efficiency.
Business Analytics Tool (DATAMATICS)
January 1, 2023 – March 1, 2025
Build a unified analytics platform to automate reporting, standardize KPIs, and enable real-time business visibility across multiple enterprise systems. Integrated multiple enterprise data sources into a centralized ingestion and processing layer. Designed a semantic KPI model to standardize business metrics across functions. Automated dashboard generation and implemented real-time alerting for operational anomalies. Reduced reporting effort by ~75% (multi-day cycles to near real-time). Improved decision-making speed by 2-3x. Reduced manual reporting errors by 25-30%. This solution establishes a single source of truth for enterprise reporting, eliminating fragmented analytics practices. It enables leadership teams to make faster, data-driven decisions while significantly reducing operational overhead in reporting and MIS functions.
Technical Service Analytics Tool (DATAMATICS)
January 1, 2023 – March 1, 2025
Develop a service analytics platform to enable real-time monitoring, SLA tracking, and predictive detection of service degradation. Implemented real-time telemetry ingestion across enterprise services and applications. Built SLA rule engines to continuously evaluate compliance and detect violations. Integrated predictive analytics models to identify early warning signals and anomalies. Reduced SLA breach detection time by ~80%. Improved uptime adherence by 20-25%. Reduced operational escalations by 30-40%. This initiative shifts service management from reactive monitoring to predictive operations. It improves system reliability, reduces downtime risk, and enables proactive intervention across enterprise IT environments.
Automation Using DevOps Tools
Unknown
June 1, 2026 – Present
Power Presenters
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity spans market research, business analytics, canteen management, and autonomous developer systems, showcasing adaptability across various industries. Their roles at Amnex and Datamatics align well with a 'Director of Sales' target role, particularly in a technology-driven sales or pre-sales leadership capacity. The breadth of skills, including AI strategy, data governance, commercial strategy, and bid leadership, indicates a strong fit for a role requiring both technical depth and business acumen. The experience with government and enterprise clients further broadens their cultural adaptability.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and cross-functional collaboration skills, essential for a senior pre-sales role. Their experience in executive presentations, client advisory, and managing complex bid lifecycles indicates excellent communication and negotiation abilities. The focus on AI governance and responsible AI adoption aligns with modern operational best practices. The candidate's ability to transform pre-sales workflows through automation and agentic AI suggests an innovative and efficiency-driven mindset.