Shubham Kumar

Full Stack Engineer

Gurugram, Haryana, India9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed advanced chatbots using LangChain.
Optimized data processing pipelines at American Express.
Created real-time dashboards saving significant reporting time.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AI and Data Processing.

Contact

shubham.kr7519@gmail.com LinkedIn

Skills

Core Skills

Data AnalysisRisk ManagementAi & MlData VisualizationData Compression

Other Skills

AirtableApache KafkaArtificial Intelligence (AI)Back-End Web DevelopmentBigQueryBrotli AlgorithmBrowserStackC++Cascading Style Sheets (CSS)Chatbot DevelopmentComputer ScienceComputer VisionContinuous Integration and Continuous Delivery (CI/CD)Cross-team CollaborationData Aggregation

About

💻 About Me I’m a Software Engineer passionate about building scalable products and solving real-world problems using tech. With 1+ years of experience across American Express, IndiGo, and CIBIL, I’ve contributed to high-impact projects in web development, big data, and AI/ML. 💼 What I've done: • Designed backend services, REST APIs, and core functionalities using Node.js & MongoDB • Built RAG pipelines and document chunking for query optimization at IndiGo • Developed agentic chatbots leveraging LangChain & LangGraph • Engineered SQL/Python pipelines on BigQuery & Hive at American Express • Automated reporting workflows at IndiGo, siginificantly reducing costs. ⚙️ Tech Stack • Languages & CS Fundamentals: C++, Python, Java, JavaScript, TypeScript, HTML, SQL, OS, OOP, LLD, DSA, Web Dev • Development: Node.js, MongoDB, Express, React, Redux, Tailwind CSS • AI & Data Science: LangChain, LangGraph, LLM, RAG, PyTorch, TensorFlow, Computer Vision, Hive, BigQuery, Power BI • DevOps, Cloud & Tools: Git, GitHub, Postman, Docker, Vercel, Render, AWS, GCP 🔎 Actively looking for Software Engineer / Backend Developer / AI Engineer roles where I can build reliable, scalable systems and make real impact.

Experience

9 mos

Total Experience

9 mos

Average Tenure

Current Experience

Mosaic wellness

Full Stack Engineer

Oct 2025 – Present · 8 mos · Remote

American express

Analyst - Risk Management

Mar 2025 – May 2025 · 2 mos · Gurugram, Haryana, India · Hybrid

● Expedited 5+ UATs for multiple derived variables by interpreting JIRA documentations for AML Model enhancements
● Optimized the UK Merchant Collusion detection pipeline code, improving processing efficiency for 3M+ customers
● Performed data analysis using SQL and Python on large datasets in Hive and BigQuery for financial crimes AI models

SQLPythonHiveBigQueryData AnalysisRisk Management

Indigo (interglobe aviation ltd)

GET - Digitization and Process Enhancement

May 2024 – Mar 2025 · 10 mos · Gurugram, Haryana, India · On-site

● Applied advanced document processing techniques in an LLM, including semantic chunking and recursive chunking using LangChain, improving information retrieval and response accuracy on a database of 100+ large documents
● Tested a chatbot rigorously on 50+ documents for response accuracy to 1k+ users, saving 10% manhours enhancing OTP
● Built multiple Power BI dashboards and analytics reports to visualize core business KPIs in real time for informed and timely decision making, saving 10+ hours per week of manual reporting work
● Aggregated unstructured data from 10+ sources, pre-processed and transformed into structured data for advanced analytics
● Collaborated with senior stakeholders, identified process bottlenecks and implemented strategies to drive digitization, automation and process improvement initiatives in a team of 2
● Attended 3-day induction at Delhi Hangar, gaining practical insights on core aviation maintenance, planning and supply chain
● Awarded the 6e Fab Debutant presented annually to top 10 out of 300+ new joinees for exemplary performance by the SVP

LangChainPower BIDocument ProcessingData AggregationAI & MLData Visualization

Transunion cibil limited

Information Technology Intern

May 2023 – Jul 2023 · 2 mos · Mumbai, Maharashtra, India · On-site

● Employed the Brotli algorithm for compressing TUDF files, achieving more than 30% compression without any data loss
● Developed a proof of concept, achieving a 25-30% improvement in compression size compared to the previous algorithm
● Extensively studied various lossless compression algorithms to develop a robust file compression technique for 70+ TB data

Brotli AlgorithmLossless CompressionData Compression