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SHRUTI PHAD

Open to work0 years experience

AI/ML Engineer

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

AI Engineer & Full Stack Developer | B.E. Electronics & Telecommunication

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

31 skills
javapythonsqljavascripttypescriptreact.jsnode.jsexpress.jsnext.jsfastapimongodbpostgresqlsupabasegitgithubvs codevercellinuxdockerrest apispostmanawsllmsnumpypandasopencvmediapipegenerative airagvector databasesprompt engineering

Work Experience

AI/ML Intern

InLighnX Global Pvt. Ltd.

Apr 2025 - May 2025 Remote
  • Built a real-time sign language recognition system using CNN pipeline, achieving 90% accuracy and enabling live gesture-to-text translation via webcam, improving accessibility for non-verbal communication.
  • Pre-processed the data and augmented training datasets using MediaPipe for precise hand landmark extraction and OpenCV for video processing while ensuring model reliability.

Projects

UniPlacement

View Project
Next.jsNLPRAG
  • Engineered an AI-powered SaaS platform with role-based Admin/Student workflows, enabling automated eligibility filtering, application tracking, and resume customization via skill–JD matching algorithms.
  • Built an NLP-driven Resume Intelligence engine with RAG-based recommendations and VectorDB search to extract structured resume data, compute fit scores, identify skill gaps, and generate personalized support.

Hotel Receptionist & Operations Platform

View Project
FastAPISupabasePostgreSQL
  • Engineered a multi-tenant AI backend automation with 2-stage intent classification routing guest messages with idempotency guarantees and RLS enforcing strict tenant isolation across different OTAs.
  • Built a guarded NL→SQL data assistant combined with RAG over a hotel knowledge base with source citations served via a React/TypeScript owner console with real-time event feeds and Hinglish language support.

SleepCare

View Project
WebSocketsMERN StackESP32
  • Engineered an IoT health system on ESP32-S3 integrating 5 physiological sensors streaming 10-seconds buffered windows for ECG cardiac event processing, live Socket.IO broadcasting pipelines across 4 clinical modes.
  • Trained a 1D-CNN arrhythmia classifier with real-time backend inference and EEG-based sleep stage classification from live cognitive-state estimation using Alpha, Beta, Gamma, and RMS signal bands.
  • Architected a MERN-stack platform as Observer pattern for live dashboards, and mode-wise historical analytics with RAG-based session querying and real-time alerts, 4 Excel export pipelines.

Promptly

View Project
MERNLLM APIs
  • Developed an AI-driven chatbot system with user authentication and session-based chat history, enabling private, persistent, and searchable 12+ user conversations.
  • Integrated LLM API with a React frontend and Express backend, designing efficient streaming request pipelines and state management for low-latency conversational experiences.

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

Best Debater, Icarus 2025 TechFest

Won Best Debater at Icarus 2025 TechFest through data-backed argumentation and persuasive communication.

IDEATHON'25 Participant

Pitched a MVP to judges and presented its market analysis TAM/SAM/SOM and product thinking at IDEATHON'25.

About Details

Professional Bio

Aspiring AI/ML Engineer and Full Stack Developer with a strong background in building AI-powered SaaS platforms and IoT health systems. Proficient in modern web frameworks, LLMs, and data-driven applications. Passionate about leveraging technology to solve complex real-world problems.

Bachelor of Engineering in Electronics and Telecommunication in Electronics and Telecommunication

Rajiv Gandhi Institute of Technology, Mumbai (2022 - 2026)

Languages: English, Hindi
Email: Locked
SHRUTI PHAD - Profile | Swiftcruit