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AP

Ayush Pathak

Open to work0 years experience

Software Developer

Dharwad, IndiaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Data Science and AI student and Software Developer.

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

28 skills
typescriptjavascriptpythonc++csqlreact.jsnext.jsnode.jsexpress.jsfastapihonoprismanextauthopenai gpt-4oclaude apigemini apigroq sdksnowflake cortexllm api integrationpostgresqlmongodbredisbullmqsnowflakehtmlcsstailwind css

GitHub Activity Evidence

GitHub Footprint Not Connected

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Work Experience

Software Developer Intern

ENTNT

Dec 2025 - Present Remote, IN
  • Engineered AI-powered web applications for global enterprise clients using React.js, Next.js, and Node.js, owning delivery end-to-end across requirements, implementation, and production deployment.
  • Integrated LLM APIs into client-facing products, automating key workflows and reducing manual processing overhead by ~40% across 3+ global projects.
  • Maintained production reliability and code quality across a fully async, distributed team — shipping features with zero-downtime deployments in a remote-first engineering environment.

Software Developer Intern

Dentsu

Jun 2025 - Jul 2025 Bangalore, IN
  • Reduced job failures and SLA breaches by 35% by enhancing RCA observability pipelines, handling spikes of up to 1,611 failures/day across 2,000+ daily crawl jobs.
  • Engineered NLQ-to-SQL AI chatbots using GPT-4o and Snowflake Cortex, enabling natural language querying over 1–2B daily data points for 100+ retail clients.
  • Built a full-stack monitoring dashboard (React.js, Express.js, FastAPI, Snowflake) providing real-time job visibility and cutting mean-time-to-detection for pipeline incidents.

Software Developer Intern

DataAstraa

Aug 2024 - Sep 2024 Remote, IN
  • Refactored 1,000+ lines of legacy JavaScript into a modular TypeScript architecture, eliminating 70% of runtime errors and significantly improving long-term maintainability.
  • Optimized Node.js/MongoDB backend with server-side pagination and indexed queries, slashing API latency 4.5x from 1.8s to 400ms.
  • Built a reusable React hook library for complex form state management, cutting boilerplate by 60% across 15+ UI components and accelerating feature delivery.

Projects

Mail.ai

Next.jsPrismaPostgreSQLStripeBullMQRedisGroq SDK
  • Engineered an AI-powered bulk email platform with Groq-SDK-generated personalized templates, a Redis + BullMQ delivery pipeline achieving 40% faster throughput and 99.9% uptime.
  • Implemented Stripe usage-based billing and automated invoicing, enabling tiered subscription monetization for enterprise clients with full payment lifecycle management.

Cal.ai

Next.jsPostgreSQLPrismaGeminiClaudeRazorpayRedis
  • Architected an AI fitness and nutrition platform with image-based meal analysis using dual-model orchestration (Claude + Gemini fallback), serving ~100 requests/day at 45–55% lower inference cost.
  • Designed a time-series health data layer with PostgreSQL + Prisma supporting 25+ active users with near-100% cache reuse; owned end-to-end monetization via Razorpay generating ~Rs.2.5K/month MRR with Redis-based rate limiting for platform abuse prevention.

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

LLM API Integration Efficiency

Reduced manual processing overhead by ~40% across 3+ global projects through LLM API integration.

Pipeline Optimization

Reduced job failures and SLA breaches by 35% by enhancing RCA observability pipelines.

API Latency Reduction

Slashing API latency 4.5x from 1.8s to 400ms through backend optimization.

About Details

Professional Bio

Data Science and AI student with experience in full-stack development and AI integration. Proven track record in optimizing backend performance and building scalable AI-powered web applications.

Bachelor of Technology in Data Science and Artificial Intelligence in Data Science and Artificial Intelligence

Indian Institute of Information Technology Dharwad (2022 - 2026)

Languages: English, Hindi
Email: Locked