Backend & AI Engineer | Python, FastAPI, Groq | Architected Scalable Admin Platforms & Sub

Summary

Software Engineer specialized in building highI am a performance-driven Software Engineer with specialized expertise in Backend System Design and Applied AI Engineering, currently driving technical architecture at Trumio. My background spans architecting scalable RESTful APIs and Microservices using Python (FastAPI) and Java 8, as well as deploying production-grade Generative AI solutions.

Key Technical Achievements:

Backend Engineering & Database Optimization: I architected the backend infrastructure for a core governance platform, designing RBAC systems and engineering complex MongoDB aggregation pipelines that reduced query response times by 40% for high-volume dashboards. I also built fault-tolerant data ingestion pipelines to orchestrate webhook data from third-party vendors like Xobin and Hotjar, ensuring PII compliance and data consistency.

Applied AI & LLM Optimization: I have extensive experience in Fine-tuning (PEFT/LoRA) open-source models like Llama 3 and Mistral to automate complex tasks such as candidate scoring. I developed real-time RAG (Retrieval-Augmented Generation) pipelines using LangChain and Groqs LPU, achieving sub-second latency (<800ms) for customer-facing conversational agents.

Cloud & DevOps: My workflow integrates Docker, AWS (EC2, S3), and CI/CD best practices to ensure seamless model deployment and application scalability.

Previously, as a Software Development Intern at Amazon, I leveraged Java and AWS to implement features for Alexa Together, impacting 36% of direct customers and improving user experience by 68%. I am a recipient of the Disney International Scholarship and a Harvard WECode Distinguished Tech Fellow, recognized for my ability to merge rigorous engineering with innovative product solutions.-performance AI applications and scalable backend infrastructure.

Expectations

I expect a job where engineering is closely tied to user impactwhere I can understand the why behind what Im building while contributing to technical decisions, improving system stability, and shaping product outcomes.

Employment Preferences
Expected Base Salary

*,*00,000 INR

Expected Total Compensation

*,*00,000 INR

Academic Degree
Experience

Total Professional Experience

2 years

Startup Experience

2 years

Big-Tech Companies

no experience

Enterprise Experience

no experience
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