Bigya Tuladhar
Full Stack Developer
4+ years exp
4+ years ML exp
Python
PHP
JavaScript
Node JS
TypeScript
State Management & Data Flow: 7/10
Responsive & Cross-browser: 6/10
Performance Optimization: 6/10
Active 9 days ago
+977 (981) 8372334 Invite to interview
Message
Download CVCV
Overview
Technical skills
Timeline
Roles
Overview
Full-stack web engineer (senior-level) focused on building polished React frontends and pragmatic serverless orchestration; the developer's strongest area is stateful frontend engineering and reliable data flows, backed by a production-style timer hook and serverless S3 workspace pattern. The most proven skill is careful state and async discipline as implemented in HIIT-Timer/src/hooks/useTimer.ts and the S3 workspace read/write/presign utilities in serverless-orchestration-blueprint/src/lib/workspace.ts. There is little public evidence of automated accessibility testing, extensive a11y implementations, or a broad test suite covering UI behavior.
Technical skills
Python
PHP
JavaScript• Middle • 4y+
Node JS• Senior • 4y+
TypeScript• Middle • 4y+
Databases
MySQL
PostgreSQL
DynamoDB• 4y+
Redis• 4y+
AI/ML
Copilot
LLM
Embeddings• 4y+
RAG• 4y+
Semantic Search• 4y+
AWS Bedrock• 3y+
Claude• 3y+
Frontend
Next.js
Tailwind CSS
Vue.js
PostCSS
Vite
Framer Motion
React Hook Form
Zod
Recharts
GraphQL• 4y+
React.js• 4y+
DevOps
Amazon EC2
AWS
AWS Lambda
CI/CD
Cloudflare
CloudFormation
Docker
Kong
Vector
AWS CDK• 4y+
Jenkins• 4y+
WebRTC• 4y+
Mobile
Cordova• 8y+
Timeline
Senior Full-Stack Developer / Web Team Lead
•
Lead
Swivt Technologies
•
Full-Time
Led a team of developers in an Agile environment, coordinating sprints and releases across multiple concurrent projects. Built a custom CMS and delivered e-commerce and booking features with payment integration and scheduling workflows. Managed hosting and deployment for client projects, including DNS routing and CDN setup through third-party hosting services.
Node JSsince 2022
JavaScript
Senior Full-Stack & Cloud Engineer
•
Senior
Nova Dynamic Media
•
Contractor
Built a production RAG platform on AWS Bedrock for live moderation, event Q&A, and livestream summaries with source-backed answers. Implemented cross-region Bedrock inference failover to reduce throttling during peak bursts and keep the experience responsive. Designed agentic workflows for natural-language analytics queries using guardrails like read-only access and tenant-scoped filtering. Migrated parts of the platform toward serverless architecture with infrastructure automation and CI/CD updates.
AWS Bedrock
RAG
Embeddings
Semantic Search
Claude
GraphQL
DynamoDB
Redis
AWS CDK
Jenkins
WebRTC
React.js
TypeScript
Senior Full-Stack Developer / Team Lead
•
Lead
Bitsky
•
Full-Time
Integrated third-party game provider APIs for session management, webhook callbacks, and real-time balance updates using Node.js. Built a secure Stripe wallet system to support deposits, payouts, and reconciliation workflows. Served as a team lead overseeing delivery and integration tasks for the web platform.
Node JS
Full-Stack Developer
•
Middle
Upaya Kathmandu, Nepal Business Solutions
•
Full-Time
Developed an accounting and CRM system with role-based access and audit trails, plus a fast search experience over large datasets. Automated recurring reporting to save substantial weekly time for users. Created hybrid mobile apps with Cordova and built a delivery platform with live GPS tracking and historical route analytics plus dynamic pricing logic.
Cordova
Tribhuvan University
Bachelor's Degree •
Information Management
Middle Frontend Developer
Confidence: High Fullstack
Full-stack web engineer (senior-level) focused on building polished React frontends and pragmatic serverless orchestration; the developer's strongest area is stateful frontend engineering and reliable data flows, backed by a production-style timer hook and serverless S3 workspace pattern. The most proven skill is careful state and async discipline as implemented in HIIT-Timer/src/hooks/useTimer.ts and the S3 workspace read/write/presign utilities in serverless-orchestration-blueprint/src/lib/workspace.ts. There is little public evidence of automated accessibility testing, extensive a11y implementations, or a broad test suite covering UI behavior.
UI Component Architecture
5/10
How interface parts are built
Modular component and hook structure with custom hooks and SCSS modules shows thoughtful component boundaries, but there is limited evidence of a custom design system or large-scale component library authored from scratch.
Evidence
HIIT-Timer/src/hooks/useTimer.ts
HIIT-Timer/src/components/timer/TimerDisplay.module.scss
HIIT-Timer/src/utils/timeHelpers.ts
Responsive & Cross-browser
6/10
Works on all screens and browsers
Responsive techniques and modern CSS are used (safe-area-inset, clamp, media queries, rems and fluid sizing) showing attention to cross-device layout and mobile-safe behavior.
Evidence
HIIT-Timer/src/components/timer/TimerDisplay.module.scss
HIIT-Timer/tailwind.config.js
Performance Optimization
6/10
Speed of the interface
Concrete performance and scalability thinking is present both on frontend (tick interval discipline, requestAnimationFrame, minimized setState churn) and backend (S3 workspace pattern, cached AWS clients, TTLs), showing measured optimization and architecture choices.
Evidence
HIIT-Timer/src/hooks/useTimer.ts
serverless-orchestration-blueprint/src/lib/workspace.ts
serverless-orchestration-blueprint/src/lib/job-store.ts
Accessibility & Semantics
2/10
Usable for everyone
Little explicit accessibility code found; styling and controls exist but there is minimal evidence of ARIA, focus management, or automated a11y checks in CI.
Evidence
HIIT-Timer/src/components/timer/TimerDisplay.module.scss
HIIT-Timer/src/hooks/useTimer.ts
State Management & Data Flow
7/10
Managing data in the app
Strong state discipline and data flow patterns are visible: custom timer hook functions as a small state machine, uses refs to avoid races, handles visibility changes and persistence, and backend job orchestration uses pointer-based S3 workspace and DynamoDB status store for scalable server-state workflows.
Evidence
HIIT-Timer/src/hooks/useTimer.ts
HIIT-Timer/src/utils/timeHelpers.ts
serverless-orchestration-blueprint/src/handlers/steps/build-entity-dict.ts
UX & Visual Polish
6/10
Look and feel quality
High visual polish and UX work (animations, countdown overlays, audio cues, coach tips, polished UI tokens) are evident; loading/error flows are partially handled but not exhaustively (few explicit skeletons/fallbacks shown).
Evidence
HIIT-Timer/src/components/timer/TimerDisplay.module.scss
HIIT-Timer/src/hooks/useTimer.ts
HIIT-Timer/src/constants/coachTips.ts
Expertise
React• Middle
Frontend Architecture & Build Tools• Middle
HTML & CSS• Middle
Industries
Sports• Middle
Technologies
JavaScript• Middle • 4y+
TypeScript• Middle • 4y+
Node JS• Senior • 4y+
Vue.js
GraphQL• 4y+
Tailwind CSS
Next.js
AWS
React.js• 4y+
Vite
PostCSS
Zod
Framer Motion
Recharts
React Hook Form
Recommendations
- Lead or implement end-to-end features that require tight client-server state coordination, such as real-time telemetry dashboards or countdown-based experiences (use the existing timer hook and workspace pattern).
- Design and ship small full-stack serverless jobs that require orchestration and artifact handling (use the S3 workspace pattern and job-store primitives to add new pipeline steps).
- Owner role on UI-focused features needing performance tuning and cross-device polish, such as mobile-first interactive components and audio/visual sync.
Repositories
The developer's experience in this domain has been verified based on AI analysis of the following repositories:
Intern AI/ML Engineer
Confidence: Medium Generalist
A junior-level Python developer focused on data structures and algorithm practice with a strength in implementing canonical interview problems cleanly. The strongest proven skill is algorithmic problem solving, as shown by multiple human-authored solutions such as two_sum/two_sum.py and group_anagrams/group_anagrams.py. There is no public evidence of machine learning engineering, deployment, testing frameworks, or system-level architecture work in the human-authored code.
Model Architecture & Training
How well models are designed and trained
Not evidenced in public code
Data Pipeline & Feature Engineering
How data is prepared for models
Not evidenced in public code
Experimentation & Evaluation
How results are measured and tested
Not evidenced in public code
MLOps & Deployment
How models are shipped to production
Not evidenced in public code
Computational Efficiency
How efficiently computing resources are used
Not evidenced in public code
Research Depth & Innovation
Depth of research and new ideas
Not evidenced in public code
Technologies
Python
MySQL
PostgreSQL
Redis• 4y+
Copilot
Claude• 3y+
DynamoDB• 4y+
WebRTC• 4y+
AWS CDK• 4y+
CloudFormation
Kong
Embeddings• 4y+
AWS Bedrock• 3y+
CI/CD
Jenkins• 4y+
Docker
Cloudflare
LLM
RAG• 4y+
AWS Lambda
Amazon EC2
Vector
Semantic Search• 4y+
Recommendations
- Develop teaching or interview-prep content and curated problem sets using the existing clean algorithm solutions and explanatory README approach.
- Contribute to coding-challenge platforms or build a small portfolio site that demonstrates solved problems with time and space complexity analysis and test cases.
- Expand into software engineering tasks that add testing, CI, and packaging for the solutions to show production readiness and engineering discipline.
Intern Backend Developer
Confidence: Medium Generalist
Junior software engineer focused on algorithmic problem solving with consistent practice in Python and TypeScript. Strongest proven skill is algorithm and data structure implementation, demonstrated by many complete solutions for standard problems such as Two Sum, Top K Frequent, Min Window Substring and related DSA drills. There is no public evidence of production backend engineering such as database schema evolution, API design, system architecture, or production-grade reliability and security patterns.
API Design
How well APIs are designed
Not evidenced in public code
Data Layer & Database
Working with databases
Not evidenced in public code
Scalability & Performance
Handling load and speed
Not evidenced in public code
System Architecture
Overall system structure
Not evidenced in public code
Security & Auth
Protecting data and access
Not evidenced in public code
Reliability & Observability
Stability and monitoring
Not evidenced in public code
Expertise
Python• Intern
Technologies
PHP
Recommendations
- Build a small backend service (REST or GraphQL) in Python that persists to a database and include migrations and tests to demonstrate transaction boundaries, schema evolution and error handling.
- Convert algorithm solutions into well-tested library modules with unit tests and CI to show maintainability, edge-case handling, and test coverage.
- Implement a simple real-time feature (WebSocket or long-polling) backed by an in-memory store and document timeouts, retries and idempotency to evidence reliability decisions.
Repositories
The developer's experience in this domain has been verified based on AI analysis of the following repositories: