PARTH GARG
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PARTH GARG

Software Engineer

  • 16 proven skills
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Claims you can check

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  • StatedRésumé

    Zero-Devops: Self-Hosted Deployment Platform

    Architected a 4-workspace monorepo (Next.js client, Go/Echo API server, Go build worker, shared schema contract) powering a self-hosted deployment platform. Designed a transactional outbox dispatcher with publisher confirms and dead-letter handling. Automated GitHub webhook ingress with HMAC verification, delivery deduplication, and detection across 7+ frameworks. Established path-filtered CI across 3 workspaces.
  • StatedRésumé

    Voltra: Low Tension Line Fault Detector

    Developed a smart grid monitoring system using basic ML classification (on SCADA data) to predict LT line faults in real-time. Built a dual-interface system with admin dashboard, Gemini-powered AI chatbot, and multi-channel alerts (Twilio SMS, Nodemailer). Leveraged data analysis techniques on SCADA time-series data. Shipped RESTful APIs with Express.js and Flask.
  • StatedRésumé

    GranthAI

    In-house platform for structured textbook extraction and annotation. It preserves tables, formulas, metadata, and page context for LLM/LMM training pipelines, with reviewer dashboards and resumable processing for large PDFs.
  • StatedRésumé

    Zero-Devops

    DevOps automation and infrastructure tooling designed for faster developer shipping and environment provisioning.
  • StatedRésumé

    Voltra - LT Fault Detection Service

    Fault detection and predictive analytics implementation with ML, data processing, and evaluation workflows.
  • StatedRésumé

    LingoDocs

    A multilingual document tool powered by OpenRouter, vector search, and translation workflows.
  • StatedRésumé

    LLM Intern @ Pan Science Innovations LLP

    Benchmarked 8+ LLMs and multiple ASR models for a major DTH client, driving a migration that cut inference costs by 30–40%. Engineered prompt strategies achieving a 25% reduction in model error rates. Fine-tuned and trained LLMs to meet client-specific requirements. Delivered GranthAI, an AI-powered learning platform for S Chand, including a production-grade PDF table extractor that resolved context loss in its RAG pipeline.
  • StatedRésumé

    Web Development Head @ IOSD MAIT

    Mentored 50+ students in full-stack development, modern frameworks, and industry best practices. Organized and conducted workshops and hands-on sessions, building a strong developer community within the college.
  • StatedRésumé

    LLM Intern @ PanScience Innovations LLP

  • StatedRésumé

    Web Development Head @ IOSD MAIT

  • StatedRésumé

    Competed in 20+ hackathons

    Secured top positions and recognition in various hackathons
  • StatedRésumé

    GitHub Contributions

    500+ Contributions, 45 Public repos
  • StatedRésumé

    Class 12 CBSE Result

    Scored 94%

What PARTH can prove

Proven Unproven

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INTERVIEW-VERIFIED CAPABILITY (PROVEN)SELF-DECLARED STACK
GRAPH NODES: 51 · CONNECTIVITY FACTOR: 0.31
Skill constellation: 51 skills, 0 interview-verified.AWS (EC2, S3)AWS EC2AWS S3BASIC MLBUNC/C++CLOUDFLAREDATA ANALYSISDATA STRUCTURES & ALGORITHMSDATABASE MANAGEMENT SYSTEMSDBMSDOCKERDSAECHOEXPRESS.JSFASTAPIFASTIFYFLASKGITGITHUB ACTIONSGOJAVASCRIPTJUPYTERJUPYTER NOTEBOOKLLM INTEGRATIONMACHINE LEARNINGMONGODBMYSQLNEXT.JSNODE.JSOBJECT-ORIENTED PROGRAMMINGOCI REGISTRIESOOPPOSTGRESQLPOSTMANPRISMAPROMPT ENGPROMPT ENGINEERINGQDRANTDBRABBITMQRAG SYSTEMSREACT.JSREDISSQLSTREAMLITTYPESCRIPTTYPESCRIPT/JAVASCRIPTVECTORDBWEBHOOKSZUSTANDPYTHON
  • AWS (EC2, S3): self-declared, 0 evidence items
  • AWS EC2: self-declared, 1 evidence items, linked to Project: GranthAI
  • AWS S3: self-declared, 1 evidence items, linked to Project: GranthAI
  • Basic ML: self-declared, 1 evidence items, linked to Project: Voltra: Low Tension Line Fault Detector
  • Bun: self-declared, 0 evidence items
  • C/C++: self-declared, 0 evidence items
  • Cloudflare: self-declared, 1 evidence items, linked to Project: Zero-Devops
  • Data Analysis: self-declared, 1 evidence items, linked to Project: Voltra: Low Tension Line Fault Detector
  • Data Structures & Algorithms: self-declared, 0 evidence items
  • Database Management Systems: self-declared, 0 evidence items
  • DBMS: self-declared, 0 evidence items
  • Docker: self-declared, 1 evidence items, linked to Project: GranthAI
  • DSA: self-declared, 0 evidence items
  • Echo: self-declared, 2 evidence items, linked to Project: Zero-Devops: Self-Hosted Deployment Platform, Project: Zero-Devops
  • Express.js: self-declared, 1 evidence items, linked to Project: Voltra: Low Tension Line Fault Detector
  • FastAPI: self-declared, 1 evidence items, linked to Project: GranthAI
  • Fastify: self-declared, 0 evidence items
  • Flask: self-declared, 1 evidence items, linked to Project: Voltra: Low Tension Line Fault Detector
  • Git: self-declared, 0 evidence items
  • GitHub Actions: self-declared, 0 evidence items
  • Go: self-declared, 2 evidence items, linked to Project: Zero-Devops: Self-Hosted Deployment Platform, Project: Zero-Devops
  • JavaScript: self-declared, 0 evidence items
  • Jupyter: self-declared, 0 evidence items
  • Jupyter Notebook: self-declared, 0 evidence items
  • LLM Integration: self-declared, 0 evidence items
  • Machine Learning: self-declared, 0 evidence items
  • MongoDB: self-declared, 1 evidence items, linked to Project: LingoDocs
  • MySQL: self-declared, 0 evidence items
  • Next.js: self-declared, 1 evidence items, linked to Project: Zero-Devops: Self-Hosted Deployment Platform
  • Node.js: self-declared, 0 evidence items
  • Object-Oriented Programming: self-declared, 0 evidence items
  • OCI Registries: self-declared, 0 evidence items
  • OOP: self-declared, 0 evidence items
  • PostgreSQL: self-declared, 2 evidence items, linked to Project: Zero-Devops: Self-Hosted Deployment Platform, Project: GranthAI
  • Postman: self-declared, 0 evidence items
  • Prisma: self-declared, 0 evidence items
  • Prompt Eng: self-declared, 0 evidence items
  • Prompt Engineering: self-declared, 0 evidence items
  • Python: self-declared, 3 evidence items, linked to Project: Voltra: Low Tension Line Fault Detector, Project: GranthAI, Project: Voltra - LT Fault Detection Service
  • QdrantDB: self-declared, 0 evidence items
  • RabbitMQ: self-declared, 1 evidence items, linked to Project: Zero-Devops: Self-Hosted Deployment Platform
  • RAG Systems: self-declared, 0 evidence items
  • React.js: self-declared, 0 evidence items
  • Redis: self-declared, 0 evidence items
  • SQL: self-declared, 0 evidence items
  • Streamlit: self-declared, 0 evidence items
  • TypeScript: self-declared, 0 evidence items
  • TypeScript/JavaScript: self-declared, 0 evidence items
  • VectorDB: self-declared, 0 evidence items
  • Webhooks: self-declared, 0 evidence items
  • Zustand: self-declared, 0 evidence items

Shipped work

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Getting better, on the record

Proven skills over time — today marked in lime.

No scored sessions yet

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Career chronology

Gaps shown honestly — only what's on the record.

Trajectory timeline

  1. LLM Intern

    Pan Science Innovations LLP

    2026-01-01 — 2026-04-01

  2. LLM Intern

    PanScience Innovations LLP

    2026-01-01 — 2026-04-01

  3. Web Development Head

    IOSD MAIT

    2025-01-01

  4. Maharaja Agrasen Institute of Technology

    B.Tech

    2024 — 2028

  5. MAIT Delhi

    Current technical education and mentorship engagement

    2024

  6. Prudence School

    Class 12 CBSE

    2018 — 2024

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