Khushali Pariyal
Open to work2 years experienceAI Engineer
AI Engineer
Standing Rank
Rank Not Available
Developer Badges
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Skills & Technologies
31 skillsWork Experience
Systems Engineer | AI Engineer
TATA CONSULTANCY SERVICES
- Architected an autonomous requirements-to-code AI system using AWS Bedrock, AgentCore, and a serverless RAG pipeline (Amazon Textract, OpenSearch, EventBridge, Lambda) for automated SRS generation and feature development, reducing documentation effort by 90% and accelerating feature turnaround by 75%.
- Engineered an end-to-end Generative AI RAG pipeline for automated ADAS test case generation from NCAP specification documents, leveraging multimodal document ingestion (text, tables, images), vector embeddings, FAISS indexing, LLM inference, and agent-based validation , cutting manual test creation 70% and doubling test coverage.
- Developed deep learning–based computer vision systems for railway inspection using DeepLabV3 (semantic segmentation) and PatchCore (anomaly detection) across multi-camera pipelines processing 20K+ images per cycle; applied Stable Diffusion for synthetic data generation , improving model precision/recall by 18–22% under variable lighting and weather.
- Deployed an LLM-powered CI/CD code review and quality assurance system using DeepSeek models for static analysis, architectural validation, cohesion/coupling analysis, and security vulnerability detection, reducing manual review effort by 80% and increasing pre-merge defect detection rates.
Projects
MOVIE MANIA
- Designed and implemented an optimized , personalized movie recommendation system using content-based , collaborative, and demographic filtering algorithms to improve recommendation accuracy and user engagement.
SIGNVERSE
- Designed and developed an accessibility-focused , real-time application to improve communication for the deaf and mute community, featuring sign language–to–text and voice conversion, an integrated chat module, and learning resources for Indian Sign Language (ISL).
BOOK SPHERE
- Built a full-stack , scalable web application for book discovery, purchasing, and discussion using React and Node.js, implementing secure authentication , role-based access control, and RESTful API integration to enhance accessibility and security.
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
AI System Efficiency Improvement
Reduced documentation effort by 90% and accelerated feature turnaround by 75% using an autonomous requirements-to-code AI system.
ADAS Test Automation
Cut manual test creation by 70% and doubled test coverage through an automated ADAS test case generation RAG pipeline.
Computer Vision Model Optimization
Improved model precision/recall by 18–22% for railway inspection computer vision systems using synthetic data generation.
About Details
Professional Bio
Systems Engineer and AI Engineer with expertise in Generative AI, RAG pipelines, and computer vision. Proven track record in architecting autonomous AI systems and MLOps workflows to enhance development efficiency and model performance.
Bachelor of Engineering in Computer Engineering
GOVERNMENT ENGINEERING COLLEGE GANDHINAGAR (2021 - 2024)
Diploma in Information Technology
GOVERNMENT POLYTECHNIC FOR GIRLS AHMEDABAD (2018 - 2021)