starc
Software Engineer
- Verified sessions
- 0Verified sessions
- Skills demonstrated
- 0Skills demonstrated
- Badges earned
- 0Badges earned
Profile
Level claim
IC2 QA — self-declaredCareer summary
software engineer Engineer with hands-on experience testing web applications and validating software quality using JavaScript, TypeScript, React, Next.js, Node.js, and SQL. Experienced in designing and executing functional, regression, integration, and end-to-end test cases, identifying and troubleshooting defects, and validating APIs and application workflows. Strong understanding of software development and debugging, enabling effective collaboration with developers to identify root causes and resolve issues. Experienced with Git workflows, Agile methodologies, and modern development tools, with a strong focus on delivering reliable, user-friendly, and high-quality software. Passionate about continuous learning, improving testing processes, and ensuring robust product quality throughout the software development lifecycle.
Job preferences
Verified Interview Moments
Real responses captured live in AI practice sessions — evidence no resume can fake.
Jordan asked
“That's a classic pattern. Let me throw a quick challenge your way regarding caching strategies.”
“Yeah, what I mean you have not given any challenge as of now but you told that you you will give.”
The Strategist asked
“Tell me about a time you had to manage a low-performing team member. What was your approach, and what was the outcome?”
“First how I would approach is like don't assume the person is crazy. First I would understand why their performance is low... speak with them one on one... for next two sprint let's focus on completing the assign stories within the agreed estimates.”
Alex asked
“Once you identify a potential area, like maybe a specific app version, what specific metrics within search and discovery would you analyze to pinpoint the cause?”
“I want to break search and discovery into a funnel. And look at the metrics at each step. First, I would check search initiation rate. Then I would look at search success rate. Then I would analyze the result. Click through rate and play after search rate.”
Packet Strength
+25 to the next milestone (75)
Momentum building — the climb is on
Gym badges
AI Proficiency
Collaborator
Integrates AI into daily workflow, iterates on outputs
Tools used
Practice Trajectory
Sessions build the signal — every score below is progress toward the next milestone.
- Verified sessions
- 0Verified sessions
- Average score
- 0%Average scoreBuilding · +25 to 50
- Best score
- 0%Best scoreClimbing
Focus areas
tick = next milestoneBuildingClimbingStrong
Demonstrated Skills
- HTTP Status Codes95%
- React Hooks92%
- Data Structures (Hash Map / O(1) Lookup)90%
- JavaScript Debugging90%
- Caching (Redis / Cache-Aside Pattern)85%
- Stateless Application Design80%
- High Traffic Handling / Scalability Strategies80%
- QA / Quality Assurance80%
- Horizontal Scaling75%
- Load Balancing75%
- Root Cause Analysis75%
- React75%
- End-to-End Testing75%
- Performance Management74%
- Stakeholder Negotiation72%
- Product Analytics / Funnel Analysis72%
- Onboarding Program Design70%
- Bug Reproduction & Documentation70%
- Product Metrics Analysis70%
Also claimed
Verified skills are backed by AI-assessed practice evidence, not self-reporting.
Cross-Domain Experience
People Operations + Engineering Management + 17 more
Cross-domain engineers bring unique perspective connecting 19 areas
Technical Judgment
Ability to verify AI outputs, catch errors, and validate assumptions — measured across practice sessions.
Healthy skepticism
- Challenged assumption that slow task completion = underperformance (may be unclear requirements or unfamiliar codebase)
- Questioned immediate feature development for new hires — advocated for low-risk tasks first
- Proposed deferring advanced evaluation and analytics post-launch rather than blocking ship date entirely
Business context awareness
- Chose horizontal scaling based on traffic growth and high availability requirements rather than defaulting to vertical scaling
- Segmented AI chatbot launch requirements into customer-demo-critical vs. post-launch enhancements
- Aligned engineering guardrails (monitoring, basic ranking) with business deadline while deferring optimization
- Framed onboarding investment as proactive underperformance prevention, not just HR process
Technical judgment indicates how well this person evaluates solutions, catches issues before production, and connects technical decisions to business outcomes.
Notable Projects
Website System Design
Candidate briefly mentioned designing a system for a website; no further detail provided
AI Chatbot Launch
Hypothetical scenario used to illustrate priority conflict resolution between business deadline (next week demo) and engineering concerns (evaluation, security, dependencies)
Proposed phased launch: must-have guardrails and monitoring first, advanced evaluation and analytics deferred post-launch
Unnamed Team Project (Testing Standards Initiative)
Candidate noticed inconsistent testing practices across the team — some writing unit tests, others relying on manual testing. Proposed adopting a common testing standard.
Outcome not stated; response was cut off before resolution was described.
Third-party API Integration (unnamed)
Integrating a new third-party API during a sprint; API responses differed from expectations — some fields were missing in certain cases and error responses were poorly documented
Conversational AI / Chatbot QA Project
Performed end-to-end testing of a conversational AI system, focusing on individual features, edge cases, and real-world conversation flows
Improved bug reproducibility for development team by capturing exact conversation flows, inputs, timestamps, and expected vs. actual behavior
Search and Filtering Feature
Built a search and filtering feature on an application using Next.js (described loosely as an 'air power search and filtering feature')
Interview Platform / App (unnamed)
Worked on QA for an interview-related product, testing edge cases including session timing, audio issues, duplicate messages, unexpected session endings, and staging-vs-prod consistency
Ensured seamless user experience so users could focus on their interview
API Latency Incident
Responded to a live production incident where API latency abruptly increased
Root cause identified and fix deployed within approximately one hour
Communication Style
The candidate was largely unresponsive and disengaged throughout the session, providing only fragmented, off-topic, or dismissive responses. No structured or coherent communication was demonstrated.
Leadership Signals
- Advocates for understanding root cause before judging low performers
- Prefers private 1:1 conversations over public callouts for performance issues
- Sets measurable, time-bound expectations (e.g., 'next two sprints, complete assigned stories within estimates')
- Designs structured onboarding paths with week-by-week milestones rather than ad-hoc ramp-up
- Creates shared documentation to align cross-functional teams on launch commitments
- Proposes joint reviews between product and engineering to confirm mutual commitment to plans
- Assigns low-risk starter tasks to new hires to build confidence before critical work
- Proactively establishes explicit success criteria for new team members (30/60/90-day style)
- Frames performance conversations with observable behaviors, not personality judgments (avoids 'you' statements)
- Considers systemic and environmental factors (unclear requirements, unrealistic workload, personal circumstances) as potential performance drivers
- Attempted to describe influencing a team toward consistent testing standards without formal authority
- Framed a code review conflict resolution by seeking to understand peer reasoning rather than escalating — suggests collaborative rather than authoritative style
- Identified a process gap (inconsistent testing) without being prompted by management
- Attempted to drive adoption of a team-wide testing standard without formal authority
- Acknowledged role boundaries ('Since I wasn't the team lead...')
- Described a conflict resolution approach that centers on project requirements and technical impact over personal preference — suggests some experience navigating team dynamics
- Coordinated with the backend team during a live incident to identify and resolve the root cause — suggests some cross-functional coordination, though leadership depth is unclear
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