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HARDIK

JAISWAL

SOFTWARE ENGINEER / AI SYSTEMS

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— ABOUT
ABOUT

B.Tech student at GGSIPU building production-grade distributed systems and AI pipelines. Obsessed with low-latency architecture, agentic AI, and making things that actually scale. 500+ LeetCode problems deep, two AI internships in, and shipping real systems — not toy projects.

500+LeetCode Problems
8.0CGPA
Top 19%Global Ranking
365Day Streak
SKILLS
Languages
C++PythonTypeScriptJavaScriptCHTML/CSS
Frameworks
Next.js 14FastAPINode.jsRabbitMQCeleryRedisspaCy
Cloud & Tools
SupabasePostgreSQLPineconeGit/GitHubAzure AIAndroid Studio
Concepts
Distributed SystemsMicroservicesAgentic AIRAGHigh-ConcurrencyDSA
PROJECTS
PROJECTS01 / 02
Sentiment Liquidity Engine
2025 01/Real-Time AI News Sentiment Pipeline

Sentiment Liquidity Engine

Engineered a real-time ingestion engine processing 5,000+ news articles/hour into ticker-mapped sentiment signals via a multi-model AI ensemble. Resolved race conditions in high-concurrency EWMA updates using atomic distributed locking. Designed a "True-Zero" serverless model reducing developer compute costs by 100%.

5,000+articles/hour
100%cost reduction
O(1)KV lookups
next.js_14typescriptgemini_2.0claude_3.5distributed_systemsputer.js
View on GitHub ↗More Projects ↗
FactAnchor
2025 02/Enterprise-Grade AI Fact-Verification Engine

FactAnchor

Architected a high-concurrency event-driven microservices ecosystem using FastAPI & RabbitMQ to orchestrate async NLP verification pipelines — 5x higher throughput. Multi-Strategy Routing Engine with spaCy NER improved accuracy by 40% and reduced false positive rate to near zero. Sub-150ms UI updates via Redis Pub/Sub & WebSockets.

5xthroughput gain
<150msUI latency
40%accuracy gain
next.js_14fastapirabbitmqceleryredispostgresqlpineconespacy
View on GitHub ↗More Projects ↗
EXPERIENCE— EXPERIENCE
SHELL | EDUNET FOUNDATION | AICTE
AI InternJULY 2025 — AUGUST 2025
  • Built full ML pipeline — preprocessing, augmentation, training, evaluation
  • Reduced preprocessing time by 40% via automated scripting
  • Awarded triple certification from AICTE, Shell India, and Edunet Foundation
tensorflowcnnpythonml_pipelineazure
SKILLS4FUTURE

AI Intern

JULY 2025 — AUGUST 2025

Engineered a CNN-based Tree Classification & Health Monitoring model using TensorFlow achieving 88%+ accuracy across 5+ tree species for sustainable forestry.

  • Built full ML pipeline — preprocessing, augmentation, training, evaluation
  • Reduced preprocessing time by 40% via automated scripting
  • Awarded triple certification from AICTE, Shell India, and Edunet Foundation
tensorflowcnnpythonml_pipelineazure
EXPERIENCE— EXPERIENCE
EDUNET FOUNDATION
AI InternMAY 2025 — JUNE 2025
  • Covered 5+ AI/Cloud domains: computer vision, generative AI, supervised/unsupervised learning
  • Completed 10+ Microsoft Learn modules with hands-on Azure toolsets
  • Presented model architecture to industry mentors across 4 weekly review sessions
azure_aineural_networkscomputer_visiongenerative_aimicrosoft_learn
MICROSOFT AICTE INTERNSHIP

AI Intern

MAY 2025 — JUNE 2025

Built and deployed Neural Network models achieving 92%+ validation accuracy on real-world datasets across 3 end-to-end projects using Microsoft Azure AI Services.

  • Covered 5+ AI/Cloud domains: computer vision, generative AI, supervised/unsupervised learning
  • Completed 10+ Microsoft Learn modules with hands-on Azure toolsets
  • Presented model architecture to industry mentors across 4 weekly review sessions
azure_aineural_networkscomputer_visiongenerative_aimicrosoft_learn

GET IN TOUCH

Open to full-time roles, internships, and interesting projects.

jshivangi86@gmail.comLinkedIn ↗GitHub ↗

HARDIK JAISWAL © 2026