Sooraj Kashyap

Software Engineer

Jaipur, Rajasthan, India1 yr experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in AI collaboration and backend development
  • Developed high-traffic AI systems for government projects
  • Strong foundation in Python and TypeScript programming
Stackforce AI infers this person is a Backend Developer with expertise in AI-driven solutions for Travel and Government sectors.

Contact

Skills

Core Skills

Python (programming Language)LanggraphRetrieval-augmented Generation (rag)

Other Skills

FastAPIBullMQAbstract syntax treesCLIPrompt EngineeringRLHF - Reinforcement learning from human feedbackPrisma ORMJavaSpring BootArtificial Intelligence (AI)NestJSDjango REST FrameworkTypeScript

About

I'm a ๐—ฏ๐—ฎ๐—ฐ๐—ธ๐—ฒ๐—ป๐—ฑ ๐—ฑ๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—ฒ๐—ฟ working primarily with ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป and ๐—ง๐˜†๐—ฝ๐—ฒ๐—ฆ๐—ฐ๐—ฟ๐—ถ๐—ฝ๐˜, building robust systems while exploring how ๐—”๐—œ can enhance traditional development workflows. Over the past two years, I've become deeply embedded in the ๐—Ÿ๐—ถ๐—ป๐˜‚๐˜… ecosystem โ€“ though I'll be the first to admit I've accidentally bricked my system more times than I care to count. Each spectacular failure became a masterclass in system recovery, backup strategies, and learning to effectively use google search, forums, and AI tools to debug complex system issues. This approach to learning through AI assistance actually started back in December 2022 when ChatGPT first launched. Rather than using it as a crutch, I discovered its power as a sophisticated learning companion. It helped me a lot during my SQL end-sems and later on master Python and TypeScript by providing personalized explanations, debugging assistance, and code reviews โ€“ but the real skill was learning when to rely on AI guidance and when to dig deeper into the fundamentals myself. That balance between AI collaboration and core understanding has shaped my work in ๐—”๐—œ ๐—ฒ๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด. I've built and deployed ๐—ฅ๐—”๐—š ๐—ฝ๐—ถ๐—ฝ๐—ฒ๐—น๐—ถ๐—ป๐—ฒ๐˜€ and worked with ๐—ฅ๐—Ÿ๐—›๐—™ systems, spending countless hours on ๐—ฐ๐—ผ๐—ป๐˜๐—ฒ๐˜…๐˜ ๐—ฒ๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด โ€“ the subtle art of crafting prompts and managing context windows to extract reliable, production-ready results from AI systems while not paying exorbitant sums for frontier models. I'm convinced the future belongs to developers who can effectively collaborate with AI while maintaining rock-solid foundational skills. I'm always eager to discuss practical AI applications in backend development and share lessons learned from both breakthrough successes and those educational failures that teach us the most.

Experience

1 yr
Total Experience
1 yr
Average Tenure
1 yr
Current Experience

Paytm

2 roles

Software Engineer

Jun 2025 โ€“ Present ยท 1 yr ยท Noida, Uttar Pradesh, India ยท On-site

  • โ—ฆ Developed an AI travel booking assistant using LangGraph framework
  • โ—ฆ Maintain the multi-agent system to assist users with planning trips, and gathering information for booking through Paytm Travel
  • โ—ฆ Developed an integration layer to help consolidate existing data points for seamless ingestion and use with agentic tools
LangGraphPython (Programming Language)

Software Engineer Intern

Jan 2025 โ€“ Jun 2025 ยท 5 mos ยท Noida, Uttar Pradesh, India ยท On-site

  • โ—ฆ Developed AI-powered smart filters for flight searches, allowing faster user searches.
  • โ—ฆ Used Drools rule engine for real-time cancellation premium adjustments based on fluctuating data inputs for all verticals of Paytm Travel
Python (Programming Language)FastAPI

Samagra | transforming governance

Software Development Intern

Jan 2024 โ€“ Nov 2024 ยท 10 mos ยท Remote

  • โ—ฆ Instrumental in the development of Bharat Sahโ€™AIโ€™yak (BHASAI), which was aquired by Ola Kutrim in 2024, by owning the complete RAG and data extraction and ingestion pipeline
  • โ—ฆ Built the RAG system supporting 7-10k unique visitors daily during the Kumbh Mela of January 2025
  • โ—ฆ Had deployments in the states Odisha, Uttar Pradesh & Rajasthan as part of govt. schemes for farmers.
  • โ—ฆ Dataset Service โ€“ Dynamic PostgreSQL Datastore
  • Supports all PostgreSQL data types using a hot-swappable JSONB schema along with data migration
  • via declarative JSON configs
  • Ingest data at 500 records/s with indexing and embedding generation on multiple columns along
  • with vector search at 300qps with p95<20ms
  • Fuzzy search across any column using Trigram and Levenshtein distances
  • Implemented fail-safe and high-performance embedding generation pipelines using BullMQ and distributed workers.
  • โ—ฆ Document Service โ€“ GPU-Accelerated PDF Parser
  • Designed a language-agnostic PDF parsing pipeline that preserves document semantics (headings,images, etc) for structured use
  • Processes a 50-page document in โˆผ30s on a 2.5 GB-VRAM GPU
Retrieval-Augmented Generation (RAG)BullMQ

Education

National Institute of Technology Kurukshetra

Bachelor of Technology - BTech โ€” Information Technology

Jan 2021 โ€“ Jan 2025

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