
Aviral Agrawal
@aviralagrawal
Forward Deployed Software Engineer at Stello AI who built a full-stack AI analytics suite for enterprise customers.
What I'm looking for
At Stello AI, I’m the sole technical point of contact for seven enterprise customers, handling implementation, query resolution, and sales support without a PM layer.
I built the company’s full-stack AI analytics suite, combining prebuilt dashboards with a conversational AI layer that generates tables and graphs on demand.
When a Bedrock agent struggled with longer conversations, I reduced its system prompt from 19,000 to 8,000 characters and built a DSL-based memory layer; it went from failing at four turns to handling 16+.
I also solo-built a recruitment offer tool with multi-tier approval workflows, reverse-engineering the business logic from undocumented Excel files and delivering V1 in under four weeks. Earlier, at eQTechnologic, I owned Selenium automation for three features and helped raise code coverage from 40% to 80%.
Experience
Work history, roles, and key accomplishments
Forward Deployed Software Engineer
Stello AI
Jul 2025 - Present (1 year 3 months)
Sole technical point of contact for 7 enterprise customers, owning the full customer lifecycle. Built the company's full-stack AI analytics suite and shipped features to production while managing implementations.
QA Engineer
eQTechnologic
Aug 2023 - Jun 2025 (1 year 10 months)
Owned automation for 3 features in Selenium, increasing code coverage from 40% to 80%. Contributed to product releases through test planning and regression cycles.
Data Analytics Intern
MaterialDepot
Jan 2022 - Mar 2022 (2 months)
Scraped and processed thousands of data records daily from multiple websites using Selenium. Built an internal application using Appsmith to track and visualize user data for stakeholders.
Education
Degrees, certifications, and relevant coursework
Pune Institute of Computer Technology (PICT)
Bachelor of Engineering, Electronics & Telecommunications
Grade: CGPA: 8.56
Pursued a Bachelor of Engineering in Electronics & Telecommunications with a minor in Data Science, achieving a CGPA of 8.56.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
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