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AI SDR Systems Architect for B2B SaaS | 40% Pipeline Growth | Replacing SDR Grind with AI Infrastructure | HubSpot Clay n8n Salesforce | PSM Certified | $5M-$50M ARR
Most sales teams hire more SDRs to scale pipeline. I replace the grind with AI infrastructure that grows pipeline 40% at a fraction of the cost. At $5M-$50M ARR, most B2B SaaS teams are stuck in the same loop: hire SDRs, build sequences, run cold email, repeat. Pipeline spikes and crashes. Reps burn out on manual grind. Founders scale headcount instead of systems. I've audited this inside dozens of teams, the constraint is never people, it's the architecture behind them. A SaaS founder replaced 3 SDRs with an AI SDR system I built. Pipeline grew 40%. The human SDRs didn't lose their jobs, they moved up to strategy and relationship-building. Focus on closing, not copy- paste. That's the transformation I build at DevCommX. The AI SDR Infrastructure I Build: • Real-time lead identification from buying signals (not static lists) • Context-driven personalization, AI reads company news, tech stack, hiring, before writing • Autonomous follow-up that never drops the ball and never needs a reminder • Direct meeting booking with warm handoffs to the right rep at the right time • Team elevation: humans move from grind to strategy, relationships, and closing Track Record: • 40% pipeline growth through AI SDR system implementation • Inbound response time cut from 10 hours to 12 seconds with signal-based routing • RevOps architecture across 300+ B2B companies audited and advised • 90-day GTM reset: 22% reply rate, SQLs doubled, cycle time from 58 to 32 days • PSM Certified, Scrum-driven implementation across all AI SDR deployments My 5-Step Implementation Method: 1. Audit current sales operations and GTM architecture 2. Design AI SDR infrastructure and signal-based routing 3. Implement with Scrum sprints (PSM-certified delivery) 4. Train team alongside AI - elevate, not replace 5. Optimize based on data: reply rates, SQL rates, cycle time, forecast accuracy
Guru Gobind Singh Indraprastha University
Master of Computer Applications - MCA, Information Technology
January 1, 2018 – January 1, 2021
Guru Gobind Singh Indraprastha University
BCA, Information Technology
January 1, 2015 – January 1, 2018
Hillwoods academy
12 , commerce with maths
January 1, 2014 – January 1, 2015
Hillwoods academy
10 , Secondary Education and Teaching
January 1, 2012 – January 1, 2013
DevCommX
Director of Sales Operations
January 1, 2026 – Present
New Delhi · Hybrid
Appinventiv
Business Consultant
September 1, 2024 – June 1, 2025
Noida, Uttar Pradesh, India · Hybrid
HCL Technologies
Business Analyst
January 1, 2022 – August 1, 2024
Noida, Uttar Pradesh, India
Scrum Alliance Certified Scrum Professional
Scrum.org
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's experience is heavily focused on sales operations, business analysis, and consulting within the IT/SaaS sector. While the 'Director of Sales Operations' role aligns well with a 'Director of Sales' target role in terms of strategic sales thinking, the candidate's background is more operational and analytical rather than direct sales leadership and quota attainment. The education in Computer Applications further supports a technical/analytical inclination. The lack of direct sales management or quota-carrying experience might indicate a cultural mismatch for a pure sales director role.
Soft Skills & Operational Fit
The candidate's experience descriptions suggest strong analytical and problem-solving skills, particularly in identifying business needs and designing solutions. The 'Scrum-Driven GTM' and 'SLA-Driven Workflows' indicate an understanding of structured, process-oriented approaches. Collaboration with sales teams and clients points to good interpersonal and communication skills.