Headline

SWE @ HashedIn by Deloitte | AI Engineer | Agentic AI | Backend Engineering | Python | LeetCode 1875+

About

Software Engineer | Backend Engineering | AI/LLM Systems Software Engineer at HashedIn by Deloitte specializing in Backend Engineering, Generative AI, LLM-powered systems, and distributed architectures. I build scalable backend services and production-grade AI workflows with a strong focus on performance, reliability, observability, and maintainability. Key Impact - Built AI-assisted interview workflows that reduced interviewer preparation time by 50% through automated interview content generation and candidate insights. - Designed event-driven architectures using AWS ECS Fargate, Lambda, and SQS for scalable asynchronous processing and data enrichment. - Integrated LLM APIs (OpenAI/Claude) with internal candidate and job-profile services to generate structured interview plans, evaluation insights, and grounded AI outputs. - Improved production reliability using caching, retries, timeouts, fallbacks, response validation, and robust error handling, reducing manual assessment errors by 30%. - Implemented LLM observability using Langfuse, AWS CloudWatch, dashboards, and metrics to monitor latency, failures, and system health. - Built and deployed containerized microservices using Docker and AWS infrastructure. AI / GenAI Expertise LLMs • RAG • Agentic AI • LangChain • LangGraph • Prompt Engineering • Structured Outputs • Function/Tool Calling • OpenAI APIs • Claude APIs • LLM Observability • AI Workflows Backend & Cloud Java • Python • Spring Boot • FastAPI • REST APIs • Microservices • Event-Driven Architecture • AWS • ECS Fargate • Lambda • SQS • S3 • Docker • Redis • MySQL • PostgreSQL • MongoDB AI Infrastructure & Data FAISS • PgVector • RAG Pipelines • Vector Search • Structured & Unstructured Data • LLM Evaluation • Production AI Systems Previously, as an intern at HashedIn, I developed Java/Spring Boot REST APIs, built RAG pipelines, containerized services with Docker, and contributed to testing, code reviews, and scalable backend development. I enjoy solving challenging problems across distributed systems, scalable backend architecture, cloud infrastructure, GenAI, Agentic AI, and production LLM systems. Competitive Programming: Global Rank 8 in GFG Weekly Contest 118 | Global Rank 30 / AIR 25 in CodeChef Starters 89 | 2× Excellence Awards at HashedIn by Deloitte.

Location

Bengaluru

AI stack

hugging face

langchain

langfuse

langgraph

AutoGen

Ragas

Work experience

Software Engineer at HashedIn by Deloitte, Sep 2024 - Present · 2 yrs, Bengaluru, Karnataka, India

Software Developer Intern at HashedIn by Deloitte, Jun 2024 - Sep 2024 · 4 mos, Bengaluru, Karnataka, India

Java Developer at Ativeer Tech, Jul 2021 - Aug 2021 · 2 mos, Kanpur, Uttar Pradesh, India, – Collaborated with senior developers to design and integrating backend with Java. – Gained hands-on experience in coding, testing modules. – Contributed to the development and enhancement of various modules, ensuring adherence to coding standards and best practices.

Education

Bachelor of Technology - BTech, Computer Science, Jaypee University of Engineering and Technology

Pragati Vidya Peeth

Public links

leetcode: https://leetcode.com/whorishi

codeforces: https://codeforces.com/profile/whorishi