Presentation
Most high-ticket sales cycles stall because the salesperson can’t answer technical questions, and the engineers can’t close the deal. I bridge that gap.
As a Computer Science Engineer (AI/ML) with a background in high-stakes sales at Flipkart Reset, I don't just "read scripts"—I understand your architecture, identify the technical fit, and close the revenue.
🚀 Why Hire a Technical Sales Engineer?
In the AI and SaaS space, momentum is everything. When a prospect asks about API latency, data security, or LLM hallucination, "I'll check with the team" kills the deal. I provide technical clarity on the first call, cutting your sales cycle in half.
Technical Authority : With a B.E. in AI & ML, I speak the language of CTOs and Lead Architects. I built Smart Scholar (a high-precision academic parsing engine), giving me a deep understanding of data integrity—the core value I sell to your enterprise clients.
Sales Grit : My time at Flipkart Reset taught me how to thrive in high-pressure environments, managing 50+ daily touchpoints and turning skepticism into "Yes" through data-backed persuasion.
🛠 My Dual-Stack Toolkit
The Sales Stack: High-Ticket Closing, Discovery & Pain-Point Mapping, LinkedIn Sales Navigator, HubSpot, Cold Outreach.
The Technical Stack: Python, AI/ML Fundamentals, Web Scraping, Custom Data Parsing, Technical Documentation.
📈 The Result for Your Business
Zero Technical Friction: I handle technical objections on the spot—no more back-and-forth with your dev team.
Higher Qualified Leads: I identify "Technical Fit" early, ensuring your team only spends time on high-intent demos.
Faster Revenue Velocity: I shorten the gap between "First Contact" and "Signed Contract" by building immediate technical trust.
Let’s build a technical pipeline that actually converts. Reach out to discuss your offer.
Background
Focusing on the intersection of advanced engineering and business value. Rather than just theory, I applied my technical education to understand how AI products solve real-world enterprise problems.
Core Technical Competency: Developed a deep understanding of LLMs, Data Pipelines, and Python-based automation.
Key Project - Smart Scholar: Designed and built a high-precision parsing engine for academic data, which taught me the critical importance of data integrity—a key value I now communicate to technical prospects.
The Technical Sales Edge: My engineering background allows me to handle complex technical objections (API integrations, model accuracy, security) on the spot, shortening the sales cycle for AI and SaaS companies.
