Deves Patil profile photo 1 on Tal

Deves Patil

Associate Software Engineer@Cornerstone | Pune Institute of Computer Technology, Pune

Pune District

2+ years of work experience

Cornerstone OnDemand
Sep 20241 yr 11 mosPresent

Pune District

Built and maintained backend microservices using Python (FastAPI) and Java (SpringBoot), improving reliability, throughput, and consistency across distributed systems. Currently handling multiple projects simultaneously, owning development end-to-end, while also resolving real-time customer issues and production incidents. Optimized a high-volume file processing pipeline handling ingestion, validation, normalization, and transformation using async workflows, batching, and background processing. Developed distributed synchronization pipelines for multi-system data flows, improving accuracy and reducing data drift. Designed internal libraries and services for data normalization, caching, and request optimization, reducing latency and redundancy. Improved GraphDB (ArangoDB) performance through indexing, traversal optimization, and schema tuning. Implemented async job processing, worker threads, and queue-based execution for long-running tasks. Built an internal agent-based automation prototype using Python, FastAPI, LLM tool-calling, RAG, planner–executor workflow, and memory store to explore Agentic AI driven content generation and search. Enhanced system resilience using caching, structured logging, observability, and monitoring on AWS; resolved Tier-0 incidents through root-cause analysis and runbooks. Owned features from requirements → design → implementation → deployment → monitoring, collaborating with infra, data, and product teams to deliver production systems.
Turing
Jun 20243 mosAug 2024

Remote

Turing.ai
Jun 20243 mosAug 2024

Improved LLM output quality for clients including Google, Meta, OpenAI, and Character.ai. Worked with large datasets using SFT, RLHF, and evaluation pipelines to refine model behavior. Debugged, analyzed, and optimized model performance across complex codebases.
Impetus and Concepts
Jan 20234 mosApr 2023

Pune, Maharashtra, India

Impetus and Concepts
Feb 20222 mosMar 2022

Pune, Maharashtra, India

LeetCode
@Devp2872

Deves’s AI Stack

claude
claude
codex
codex
openai
openai

Education

Pune Institute of Computer Technology

Bachelor of Engineering, Computer Engineering

Pune Institute of Computer Technology

20204 yrs2024

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Headline

Associate Software Engineer@Cornerstone | Pune Institute of Computer Technology, Pune

About

Software Engineer with hands-on experience building production-grade systems across backend engineering, data analysis, and distributed architectures. I’ve contributed to real-world products in Python, FastAPI, React, SQL/NoSQL databases, AWS, and containerized environments. I’ve worked with Graph Databases, API design, cloud-native services, CI/CD, and performance optimization. I enjoy breaking down complex problems, designing clean technical solutions, and collaborating with cross-functional teams. Outside of projects, I’m motivated by continuous growth—learning new technologies, understanding system design patterns, and improving engineering practices. Open to roles where I can build, optimize, and scale meaningful software.

Location

Pune District

AI stack

claude

codex

openai

Work experience

Associate Software Engineer at Cornerstone OnDemand, Sep 2024 - Present · 1 yr 11 mos, Pune District, Built and maintained backend microservices using Python (FastAPI) and Java (SpringBoot), improving reliability, throughput, and consistency across distributed systems. Currently handling multiple projects simultaneously, owning development end-to-end, while also resolving real-time customer issues and production incidents. Optimized a high-volume file processing pipeline handling ingestion, validation, normalization, and transformation using async workflows, batching, and background processing. Developed distributed synchronization pipelines for multi-system data flows, improving accuracy and reducing data drift. Designed internal libraries and services for data normalization, caching, and request optimization, reducing latency and redundancy. Improved GraphDB (ArangoDB) performance through indexing, traversal optimization, and schema tuning. Implemented async job processing, worker threads, and queue-based execution for long-running tasks. Built an internal agent-based automation prototype using Python, FastAPI, LLM tool-calling, RAG, planner–executor workflow, and memory store to explore Agentic AI driven content generation and search. Enhanced system resilience using caching, structured logging, observability, and monitoring on AWS; resolved Tier-0 incidents through root-cause analysis and runbooks. Owned features from requirements → design → implementation → deployment → monitoring, collaborating with infra, data, and product teams to deliver production systems.

Delivery Data Analyst at Turing, Jun 2024 - Aug 2024 · 3 mos, Remote

Data Analyst at Turing.ai, Jun 2024 - Aug 2024 · 3 mos, Improved LLM output quality for clients including Google, Meta, OpenAI, and Character.ai. Worked with large datasets using SFT, RLHF, and evaluation pipelines to refine model behavior. Debugged, analyzed, and optimized model performance across complex codebases.

Overall Coordinator at Impetus and Concepts, Jan 2023 - Apr 2023 · 4 mos, Pune, Maharashtra, India

Domain Coordinator at Impetus and Concepts, Feb 2022 - Mar 2022 · 2 mos, Pune, Maharashtra, India

Education

Bachelor of Engineering, Computer Engineering, Pune Institute of Computer Technology

Public links

leetcode: https://leetcode.com/Devp2872