Laukik Waikar

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Full Stack Developer Intern

Full Stack Developer Intern at MCAD Solution who cut hallucinations in a Gemini resume analysis pipeline by 30%.

IndiaFull Stack Developer Intern at MCAD Solution

Experience

Full Stack Developer Intern
Cut LLM hallucination rate by 30% in a production Gemini-based resume analysis pipeline by implementing prompt guardrails and structured JSON schema validation. Increased candidate evaluation throughput by 40% by architecting a Node.js backend with async request handling, deployed across Vercel, Render, and MongoDB Atlas.
NodeJSGeminiJSON schemaVercelRenderMongoDB AtlasAsync AwaitPrompt Engineering
React Native Developer Intern
Improved application reliability by 35% for a real-time HR analytics tool by building reusable TypeScript components with structured error handling. Reduced repeated database load by caching session data in Redis, cutting redundant auth/session queries by 70%. Delivered real-time notifications and messaging using WebSockets, replacing polling-based updates for live data sync by 60%.
React NativeTypeScriptRedisWebSocketsError HandlingSession Management
AI/ML Research Intern
Achieved 97.7% detection accuracy on neurological healthcare datasets by benchmarking 5 ML algorithms, including BiLSTM, against F1-score, precision, and AUC-ROC. Improved experiment reproducibility through version-controlled experiment tracking and standardized ML workflow documentation.
Machine LearningBi LSTMF1 ScorePrecisionAUC ROCExperiment TrackingVersion Control

Education

Marathwada Mitra Mandal’s College of Engineering, Pune
Pursuing a Bachelor of Engineering in Computer Engineering with a minor in Data Science & Visualization, Statistics, and Machine Learning. Achieved a CGPA of 9.21/10.00.
Amazon Web Services
Completed the AWS Cloud Practitioner Essentials certification.
Oracle Cloud Infrastructure
Completed the Oracle Cloud Infrastructure certification.

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Experience

Full Stack Developer Intern

Cut LLM hallucination rate by 30% in a production Gemini-based resume analysis pipeline by implementing prompt guardrails and structured JSON schema validation. Increased candidate evaluation throughput by 40% by architecting a Node.js backend with async request handling, deployed across Vercel, Render, and MongoDB Atlas.

NodeJSGeminiJSON schemaVercelRenderMongoDB AtlasAsync AwaitPrompt Engineering

React Native Developer Intern

Improved application reliability by 35% for a real-time HR analytics tool by building reusable TypeScript components with structured error handling. Reduced repeated database load by caching session data in Redis, cutting redundant auth/session queries by 70%. Delivered real-time notifications and messaging using WebSockets, replacing polling-based updates for live data sync by 60%.

React NativeTypeScriptRedisWebSocketsError HandlingSession Management

AI/ML Research Intern

Achieved 97.7% detection accuracy on neurological healthcare datasets by benchmarking 5 ML algorithms, including BiLSTM, against F1-score, precision, and AUC-ROC. Improved experiment reproducibility through version-controlled experiment tracking and standardized ML workflow documentation.

Machine LearningBi LSTMF1 ScorePrecisionAUC ROCExperiment TrackingVersion Control

Education

Marathwada Mitra Mandal’s College of Engineering, Pune

Pursuing a Bachelor of Engineering in Computer Engineering with a minor in Data Science & Visualization, Statistics, and Machine Learning. Achieved a CGPA of 9.21/10.00.

Amazon Web Services

Completed the AWS Cloud Practitioner Essentials certification.

Oracle Cloud Infrastructure

Completed the Oracle Cloud Infrastructure certification.