Headline

Developer Associate Consultant @SAP (via NDBS) | Ex-SDE Intern @Script Lanes | PICT’25 | Knight @Leetcode | Pupil @Codeforces | DSA & CP (C++) | Generative AI, LLMs & Data | Backend + ML | Scalable Systems | Python

About

I’m a Software Engineer (Developer Associate Consultant) at SAP Labs India working on large-scale system monitoring, data pipelines, and reliability engineering in enterprise environments. In my current role, I design and optimize backend data processing systems, including Python-based ingestion pipelines where I improved processing performance by 80% using multiprocessing and reduced database write operations by 70% through pipeline optimization. I work with real-world production telemetry, focusing on anomaly detection, system efficiency, and scalable monitoring. Previously, I built backend systems using Node.js, PostgreSQL, and Prisma ORM, and integrated AI APIs (OpenAI, Groq) to automate workflows—improving issue resolution time by 25%. Beyond work, I build applied AI systems, including: Multi-agent LLM orchestration platforms Real-time AI voice agents with low-latency pipelines End-to-end ML systems deployed with backend integration I have a strong foundation in problem solving (1000+ DSA problems, LeetCode 1901), and I enjoy working on systems that require both engineering depth and practical impact. I’m particularly interested in: Backend and distributed systems AI/LLM-powered applications Data-intensive system design Always open to working on challenging engineering problems and high-impact systems.

Location

Pune Division

AI stack

anthropic apis

antigravity

claude code

claude

codex

cursor

deepseek

github copilot

grok

hugging face

langchain

langgraph

livekit

lovable

mcp

n8n

ollama

openai

replit

Work experience

Software Engineer at SAP, Jan 2025 - Present · 1 yr 7 mos, Pune, Maharashtra, India, • Network Scanner (Communication Enabling and Control) • Engineered Python-based Capture and Loader services for high-volume enterprise network data ingestion, improving processing throughput by 80% through multiprocessing. • Designed a min-heap-based load balancing mechanism to efficiently distribute workloads across processing pools, improving resource utilization and scalability. • Optimized database interaction and data ingestion pipelines, reducing database write operations by 70% while improving overall system performance. • Collaborated with cross-functional engineering teams to troubleshoot production issues, optimize backend services, and improve the reliability of enterprise data ingestion pipelines.

Software Engineer Intern at Script Lanes - Customised mobile,web and cloud solutions, Jun 2024 - Aug 2024 · 3 mos, Pune, Maharashtra, India, • Developed a comprehensive Dashboard for Ortho AI using modern tech stacks such as Prisma ORM, Node.js and PostgreSQL enabling real-time monitoring of AI interactions and managing data Standardization and Categorization for ortho-related questions. Resulting in the successful migration of 10000+ records without data loss. • Executed a comprehensive optimization of queries with Groq and OpenAI APIs to automate the standardization and categorization of ortho-related questions, enhancing data accuracy for actionable insights; this initiative enabled the customer service team to resolve issues 25% faster.

Education

Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, Pune Institute of Computer Technology

Bachelor's Degree, Telecommunications Engineering, SCTR’s Pune Institute of Computer Technology

Public links

github: https://github.com/amanchoudhari09

leetcode: https://leetcode.com/Aman_Choudhari

codeforces: https://codeforces.com/profile/aman_choudhari

linkedin.com: https://linkedin.com/in/amanchoudhari