Portrait of Avinash Kumar Shudhanshu

Avinash Kumar Shudhanshu

Lead Software Engineer/Architect | Full-Stack | Polyglot | Backend | ML | Gen-AI | RAG | Stanford | DU

I’m a Lead Software Engineer/Architect focused on backend and full-stack systems, with hands-on delivery in Gen-AI, RAG, cloud-native services, and scalable product engineering across investment banking, pharma R&D, healthcare, and edtech.

Email: avinashsudhanshu@gmail.com Location: India
View Resume Explore Experience
7+ YearsEngineering Experience
5 RolesAcross Product Domains
Gen-AI + RAGProduction Delivery
AWS • Azure • GCPCloud Engineering

Academic Profile

Education details aligned to the latest resume format.

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

Work Experience

Total Experience: 7 Years

Technical Lead — Carlyle Group (Vichara), Remote, India

Feb 2026 – Current | Domain: Investment Banking | carlyle.com

Key contributions
  • 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.

Senior Software Engineer — Incyte (RL), Bengaluru, India

Aug 2024 – Feb 2026 | Domain: Pharma R&D | incyte.com

Key contributions
  • Designed and developed AI agents for drug discovery applications, leveraging RAG for intelligent document and media processing with Python (FastAPI), WebSocket, and WebRTC.
  • Developed end-to-end pipelines for ingestion, indexing, and querying, integrating AWS S3, OpenSearch, and DynamoDB for scalable storage and retrieval.
  • Implemented and optimized RAG pipelines including embedding strategies, vector search, and retrieval patterns with LangChain, LangGraph, LangSmith, and vector databases.
  • Worked across AWS and Azure cloud ecosystems while integrating Gen-AI models such as OpenAI, Gemini, and Claude.

Software Development Engineer — Docquity, Gurugram, India

Aug 2022 – May 2024 | Domain: Healthcare | docquity.com

Key contributions
  • Re-engineered monolithic architecture into microservices and introduced gRPC for inter-service communication, improving retrieval and scale.
  • Built services for community, webinars, content management, and real-time processing serving thousands of concurrent users.
  • Developed content services for text, audio, and video with Spring Boot (Java), Python, MongoDB, Redis, gRPC, Jenkins, Docker, and WebSocket.
  • Built community features for doctor interactions (join, invite, exit, block) using Python (Django), Node.js, PHP, MySQL, and AWS.

Software Engineer — Zenarate, Gurugram, India

Jun 2021 – Jul 2022 | Domain: Finance | zenarate.com

Key contributions
  • Worked as full-stack developer to add new features for the AI Coach product and business workflows.
  • Implemented WCAG accessibility support (VoiceOver on macOS and JAWS on Windows).
  • Added scheduling features to create stories of AI chat and audio sessions, improving KPI performance by 30%.
  • Added spell-check and grammar-check features and integrated Gen-AI capabilities with OpenAI.

Programmer (Full Stack) — Samarth eGov (IIC UDSC), New Delhi, India

Jun 2019 – May 2021 | Domain: EdTech | docs.samarth.ac.in

Key contributions
  • Built scalable web applications capable of serving lakhs of concurrent users during peak hours.
  • Developed pan-India university recruitment module using PHP, MySQL, JavaScript, and TensorFlow integrations.
  • Built online examination and evaluation stack with PHP, JavaScript, MySQL, Python (Django), and Node.js.
  • Built evaluation and verification systems enabling paperless generation and verification of academic documents.

Skills

Technical Expertise

Programming & Frameworks

Python (FastAPI, Django, Flask, Pandas, NumPy) JavaScript (Node.js) TypeScript (Nest.js) PHP Java

Protocols & Messaging

RESTful APIs gRPC WebSockets SSE Async Queues Pub/Sub MCPs

Databases & Search

MySQL MongoDB PostgreSQL DynamoDB OpenSearch Redis Snowflake Pinecone

Cloud, DevOps & Gen-AI

AWS (EC2, S3, SQS, SES, Lambda, CloudFront, CloudFormation) Azure GCP Git Jenkins Docker Kubernetes Terraform CI/CD LangFlow MLflow LLM Fine-tuning

RAG & Orchestration

LangChain LangGraph LangSmith Vector DBs OpenAI Gemini Anthropic Embeddings Retrieval Strategies Chunking Approaches PyTorch

Tooling & Soft Skills

JIRA Confluence MS-365 GitHub GitLab Azure DevOps JetBrains IDEs VS Code Windsurf Cursor Copilot
Backend & APIs
Cloud & DevOps
Gen-AI, RAG & LLM Integrations

Certifications, Awards & Projects

Certifications

  • Network Security Expert 2 (Associate) — Fortinet
  • Machine Learning — Stanford Online
  • CompTIA Security+ — Cybrary
  • Burp Suite — Udemy

Awards & Scholarships

  • First Prize, Project Presentation Competition, 7th National Level Science Symposium (Rajkot, 2014)
  • ELITE Fellowship, Acharya Narendra Dev College
  • Google India Scholarship (Front End Web Developer)
  • JBT Merit-Cum-Means Scholarship (2018)

Projects & Trainings

Selected projects and internships
  • SAMARTH eGov process automation for universities and higher-education institutions.
  • Sakshat unified learning management system.
  • CowinActionNetwork initiative to support underprivileged communities during COVID-19.
  • MHRD-funded innovation project: Development of low-cost computer-controlled science laboratory.
  • CareTaker Robot under e-Yantra (NMEICT).
  • Full Stack Web Development (Yii2), Data Acquisition with National Instruments LabView, Robotics Boot Camp, and national workshop on optics/fibre communication.

Publications

Research and conference contributions from resume records.

View publications
  • Error Reduction in Basic Science Laboratory through Sensors and Open Source Technology.
    Int. J. of Recent Trends in Engineering & Technology, Vol. 11, Issue 2, June 2014, pp. 313-319.
  • Development of Open Source Low Cost Wireless Data Acquisition Systems for Science Experiments.
    International Journal of Information & Computation Technology, Vol. 4, No. 12 (2014), pp. 1123-1128, irphouse.com.
  • Development of Low Cost and User-Friendly Medical Diagnostic Tools.
    Journal of Basic and Applied Engineering Research, Vol. 1, No. 9, October 2014, pp. 80-82.
  • Automated Approaches to Advance Undergraduate Research.
    Proceedings of national conference, ISBN 978-81-7273-958-4, October 2014, pp. 324-330.
  • Low Cost and User-Friendly Environmental Monitoring System.
    National Conference on Recent Trends in Instrumentation and Electronics, ISBN 978-81-930724-0-0, January 2015, pp. 10-14.

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