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Developer Badges
Badges Pending
Skills & Technologies
30 skillsWork Experience
Software Solution Engineer – Frontend & Integrations
MoEngage
- Owned end-to-end React.js dashboard builds for enterprise clients (JPMorgan Chase, Citi, Tata) — drove 40% gain in data-insights accuracy via UI/UX redesigns and component refactoring.
- Achieved 30% load-time reduction via code-splitting, React.lazy, and memoization; established performance budgets adopted team-wide.
- Shipped 50+ production REST APIs for campaign analytics in Node.js/Express.js, cutting end-to-end latency by 35% via query optimisation and response caching.
- Built real-time internal monitoring dashboards with live alerting, reducing backend incident MTTR by 40%.
- Maintained a 1M+ entry PostgreSQL store — composite indexes and N+1 rewrites cut p99 query time by 50%.
- Led cross-functional integrations with Salesforce and Segment; owned SDK config, webhook validation, and client onboarding docs.
Projects
Easibill
- Architected a modular React/Next.js frontend with drag-and-drop email editor and multi-step campaign builder — zero third-party form dependencies, fully keyboard-accessible.
- Integrated Resend (transactional email) and Gupshup (WhatsApp Business API) for automated multi-channel refill reminders targeting 120+ pharmacies across tier-2/3 cities.
- Migrated data layer from MongoDB → PostgreSQL with Drizzle ORM; schema redesign and connection pooling delivered 2× throughput under concurrent production load.
- Deployed on AWS EC2 with Docker + GitHub Actions CI/CD; implemented Redis caching, per-tenant rate-limiting, and structured JSON observability logging.
Web Analytics SDK
- Built a <5 KB zero-dependency browser SDK capturing sessions, clicks, rage-clicks, and custom events — drop-in <script> tag, no build step required.
- Sub-10ms event processing latency routing all events through Cloudflare Workers at the edge, eliminating origin cold-start delays entirely.
- Adaptive batching with exponential back-off and local queue persistence cut origin-server load by ~60% under burst traffic without data loss.
Trackmail
- Python/Playwright scraper extracts recruiter and job-poster contacts from LinkedIn, enriching each lead (role, company, seniority) into a structured MongoDB targeting pipeline.
- Node.js bulk-send engine via AWS SES with full SPF/DKIM/DMARC auth and a 6-week inbox warmup curve — achieved consistent inbox placement on a cold domain from scratch.
- Jittered send intervals, bounce suppression, and one-click unsubscribe tracking cut spam rate from ~80% (Gmail) to <5%; fully orchestrated via GitHub Actions daily cron.
- Integrated Claude API to generate hyper-personalised email copy per lead — pulls role, company, and activity context to produce unique subject lines and body variants, lifting reply rate vs. templated sends.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Data-insights accuracy improvement
Drove 40% gain in data-insights accuracy via UI/UX redesigns and component refactoring.
Load-time reduction
Achieved 30% load-time reduction via code-splitting, React.lazy, and memoization.
Latency reduction
Cut end-to-end latency by 35% via query optimisation and response caching.
MTTR reduction
Reduced backend incident MTTR by 40% via real-time monitoring dashboards.
Query time reduction
Cut p99 query time by 50% via composite indexes and N+1 rewrites.
About Details
Professional Bio
Software Solution Engineer with expertise in React.js, Node.js, and cloud infrastructure. Proven track record in optimizing performance, scaling data stores, and building full-stack SaaS solutions. Experienced in leading cross-functional integrations and driving system efficiency.
B.Tech in Computer Science
Bhilai Institute of Technology (2019 - 2023)