Avinash K. Shudhanshu
Resume
Portrait of Avinash Kumar Shudhanshu
WSE @ Google Cloud India • July’26 – Current

Avinash Kumar Shudhanshu

Software Engineer @Google | Backend | Full-Stack | Gen-AI | ML | DU

Software Engineer with 8 years of experience building agentic cloud-based AI solutions, enterprise RAG pipelines, benchmark-driven financial pricing engines, and high-concurrency microservices across Cloud Services, Investment-Banking, Pharma- R&D, HealthCare, Finance, and EdTech.

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Portrait of Avinash Kumar Shudhanshu
Google Cloud Bengaluru
8 Years Work Experience June 2019 – Present
6 Domains Cross-Industry Cloud, IB, Pharma, Health
6 Papers Published Research Journals & Conferences
DU Alumni M.Sc. & B.Sc. Informatics & Electronics
Work Experience & Academic Journey

Career Timeline (Total: 8 Years)

Every role, responsibility, architecture milestone, and technical stack from the official resume.

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  1. Domain: Cloud Services Bengaluru, India

    Software Engineer (WSE)

    Google Cloud India, Bengaluru, India cloud.google.com
    • Focusing on developing Agentic cloud-based AI solutions and web systems engineering to support Google Cloud enterprise clients.
    • Developed AI Agents and tools to be used by clients and technical support teams to track the performance and bugs of different cloud services.
    Agentic AI Solutions Google Cloud (GCP) Web Systems Engineering AI Agents & Tooling Cloud Performance & Bug Tracking
  2. Domain: Investment-Banking Remote, India

    Technical Lead

    Carlyle Group (Vichara), Remote, India carlyle.com
    • Architected a benchmark-driven pricing engine integrating Snowflake and Postgres to automate scalable, audit-grade market yield computation with AI-assisted validation and financial time-series analytics.
    • Designed cross-system data architecture for weighted benchmarks, versioned compositions, and dynamic rate resolution (WA yield, illiquidity premium, risk adjustments) with caching and batch optimisation.
    • Built high-performance analytics pipelines and Snowflake service layers enabling idempotent ingestion, data quality controls, and anomaly-aware coverage tracking.
    • Preserved backward compatibility by decoupling AI-enabled discount-rate resolution from legacy cashflow models, ensuring deterministic and regression-safe valuations.
    Snowflake PostgreSQL Pricing Engine Architecture Financial Time-Series Analytics AI-Assisted Validation Caching & Batch Optimisation
  3. Domain: Pharma- R&D Bengaluru, India

    Senior Software Engineer

    Incyte (RL), Bengaluru, India incyte.com
    • Designed and developed AI agents for drug discovery applications, leveraging RAG (Retrieval-Augmented Generation) for intelligent document and media processing with Python (FastAPI), WebSocket and WebRTC.
    • Developed end-to-end pipelines for document ingestion, indexing, and querying, integrating AWS S3, OpenSearch, and DynamoDB for scalable storage and retrieval.
    • Design, implement, and optimise RAG pipelines, including embedding strategies, vector search, and retrieval patterns, using Langchain, LangGraph, LangSmith, and Vector Databases.
    • Worked with AWS and Azure cloud ecosystems, optimising the deployment and performance of AI-driven applications and integration with different GenAI Models like OpenAI, Gemini, Claude, etc.
    Python (FastAPI) RAG LangChain LangGraph LangSmith Vector Databases WebSocket WebRTC AWS S3 OpenSearch DynamoDB Azure OpenAI Gemini Claude
  4. Domain: HealthCare Gurugram, India
    Docquity Logo

    Software Development Engineer

    Docquity, Gurugram, India docquity.com
    • At Docquity, I worked as a Back-end engineer to re-engineer an existing monolithic architecture into a microservices-based architecture. I introduced gRPC for inter-service communication and added caching for fast data retrieval.
    • I wrote several services for features like community, webinars, content management, etc., which handle thousands of concurrent users and high-volume, real-time data processing.
    • Content Service - This service works as a storehouse for all other services; it manages all types of content like text, audio, video, etc. Tech stack - Springboot (JAVA), Python, MongoDB, Redis, gRPC, Jenkins, Docker, Websocket.
    • Community Service — This is a feature service where doctors can create a community according to their speciality and actions—join, invite, exit, block. The tech stack is Python (Django), MySQL, and AWS, Nest.js (Node), Python, PHP, MySQL, AWS.
    Springboot (JAVA) Python (Django) Nest.js (Node) PHP gRPC MongoDB MySQL Redis Websocket Jenkins Docker AWS
    Docquity wordmark Monolith → Microservices
  5. Domain: Finance Gurugram, India

    Software Engineer

    Zenarate (Naehas), Gurugram, India zenarate.com
    • At Zenarate, I worked as a Full-Stack-Developer to add new features to existing applications.
    • I added WCAG compatibility (accessibility) to the application, i.e., the website can be used by visually impaired people with the help of tools like VoiceOver (MAC) and JAWS (Windows). Tech Stack - JavaScript, jQuery, React.js.
    • Added a scheduled assignment feature to create Stories of AI chat and audio sessions to boost the KPI of financial organisations by 30%. Tech stack - Python, Node.js, JavaScript, MySQL.
    • Added Spell-check and grammar-check features to the existing AI chatbot. Tech stack - Python (Flask), Node.js, JavaScript, MySQL, integration with different GenAI Models like OpenAI.
    Python (Flask) Node.js React.js JavaScript jQuery MySQL OpenAI WCAG (VoiceOver & JAWS)
  6. Domain: EdTech New Delhi, India
    Samarth eGov Logo

    Programmer, Full stack

    Samarth eGov (IIC UDSC), New Delhi, India docs.samarth.ac.in
    • At Samarth, I worked as a full-stack developer to create web applications that could cater for lakhs of concurrent users during peak hours.
    • Recruitment Module - An application that serves pan-India recruitment for universities. Tech stack - PHP, MySQL, JavaScript. Trained small models for internal application using ML frameworks (TensorFlow).
    • Examination Module - An application that allows students of Indian universities to appear in online examinations, grading, and evaluation. Tech stack - Nodejs, PHP, JavaScript, MySQL, Python (Django).
    • Evaluation and Verification Module - An application that allows students and other academic entities to generate documents from various sources and verify them online without any paperwork. Stack - PHP, Python, MySQL, AWS.
    Python (Django) Nodejs PHP JavaScript MySQL TensorFlow AWS
  7. Academic Profile University of Delhi

    M.Sc. Informatics

    University of Delhi • Major - Information Technology and Computer Networks
    • Master of Science in Informatics with a specialization in Information Technology and Computer Networks at the University of Delhi.
    • Awarded merit-cum-means scholarship - 2018 and contributed to upgrading the UDSC Campus Area Network (CAN) from 1 Gbps to 10 Gbps serving 18,000 endpoints.
  8. Academic Profile University of Delhi

    B.Sc. Electronics

    University of Delhi • Major - Electronics and Communication
    • Bachelor of Science in Electronics with a specialization in Electronics and Communication at the University of Delhi.
    • Awarded ELITE (Education in Lively Innovative Training Environment) Fellowship at Acharya Narendra Dev College; granted cluster innovation project by MoE and established robotics and automation lab.
Skills & Competencies

Technical Expertise & Soft Skill

Complete inventory of programming languages, protocols, databases, cloud infrastructure, DevOps/MLOps, RAG orchestration, and collaboration tools from the resume.

Languages & Frameworks

Backend & Full-Stack
Python Fast-API Django Flask Pandas Numpy JavaScript (Nodejs) TypeScript (Nest.js) php Java Springboot (JAVA) React.js jQuery

Communication Protocols

Distributed & Real-Time
RESTful gRPC WebSockets WebRTC SSE async Queues Pub-Subs MCPs

Databases

SQL, NoSQL & Vector
MySQL MongoDB PostgreSQL DynamoDB OpenSearch Redis Snowflake Pinecone

Cloud Services

AWS, Azure & GCP
AWS EC2 S3 SQS SES lambda cloudfront cloudformation Azure GCP

DevOps / MLOps Tools

Automation & Infra
Git Jenkins Docker K8S Terraform CI-CD LangFlow MLFlow LLM-fine-tuning

RAG Tools & Orchestration

Gen-AI & ML
LangChain LangGraph LangSmith Vector-Databases Gen-AI (OpenAI, Gemini, Anthropic, Claude) embeddings vector search retrieval strategies chunking approaches Pytorch TensorFlow

Soft Skill & Developer Ecosystem

Collaboration & AI-Assisted IDEs
JIRA Confluence MS-365 Github GitLab Azure DevOps JetBrains IDEs VSCode Windsurf Cursor Copilot etc.
Education

Academic Profile

Postgraduate and undergraduate degrees from the University of Delhi.

University of Delhi

M.Sc. Informatics

Major - Information Technology and Computer Networks

University of Delhi

B.Sc. Electronics

Major - Electronics and Communication

Academic Profile — University of Delhi
Degree Year Major Institution
M.Sc. Informatics 2019 Major- Information Technology and Computer Networks University of Delhi
B.Sc. Electronics 2017 Major- Electronics and Communication University of Delhi
Credentials

Certifications

Network Security Expert 2 (Associate)

Fortinet

Machine Learning

Stanford Online

CompTIA Security+

Cybrary

Network Security Expert

Fortinet

MCP

by Anthropic

Honors & Impact

Academic Awards & Achievements

Co-Curricular

  • Author of various research papers (6) published in different journals and conference proceedings. ResearchGate ↗
  • Awarded with merit-cum-means scholarship - 2018.
  • Awarded ELITE (Education in Lively Innovative Training Environment) Fellowship at Acharya Narendra Dev College.

Extra-Curricular

  • Has been a part of the team responsible for upgrading CAN (campus area network) in UDSC from 1 Gbps to 10 Gbps using a star+ring network configuration, eliminating SPOF (single point of failure), which serves 18,000 endpoints across the university.
  • Granted cluster innovation project by MoE and established robotics and automation lab.
Curriculum Vitae

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