---
title: "Abhay Pratap Singh - Software Engineer - AI Software & Platform in Bengaluru | Tal"
description: "Meet Abhay Pratap Singh, Software Engineer - AI Software & Platform @ Cisco | Ex-Mahindra AI, Bosch | Backend & Distributed Systems | Production LLM Infrastructure | FastAPI, Kubernetes, Redis | Knight @Leetcode (Top 4.6% Worldwide) based in Bengaluru. AI stack includes anthropic apis, antigravity,..."
image: "https://tal.club/meet/abhay-pratap-singh-9/share-image"
---

# Abhay Pratap Singh on Tal

## Headline

Software Engineer \- AI Software & Platform @ Cisco \| Ex\-Mahindra AI, Bosch \| Backend & Distributed Systems \| Production LLM Infrastructure \| FastAPI, Kubernetes, Redis \| Knight @Leetcode \(Top 4\.6% Worldwide\)

## About

Software Engineer at Cisco \(AI Software & Platform\) specializing in backend infrastructure and production AI systems\. Experienced in designing scalable distributed services, multi\-tenant retrieval systems, and enterprise LLM platforms using Python, FastAPI, Redis, Kubernetes, and cloud\-native infrastructure\. At Mahindra AI, I led development of production\-scale AI systems including: • Multi\-tenant RAG platforms optimized for latency, scalability, and infrastructure cost • Enterprise AI applications serving 1200\+ users across multiple business units • ML pipelines processing large\-scale financial document workflows • Automation platforms generating INR 9\+ Cr annual business impact My work focuses on distributed systems, backend architecture, AI platform engineering, retrieval systems, and high\-performance APIs\. Interested in solving large\-scale engineering problems involving scalability, reliability, inference systems, and production AI infrastructure\.

## Location

Bengaluru

## AI stack

anthropic apis

antigravity

claude code

claude

codex

cursor

## Work experience

Software Engineer \- AI Software & Platform at Cisco, Jun 2026 \- Present · 3 mos, Bengaluru, Karnataka, India, • Developing distributed document processing and retrieval services for multi\-product AI Assistants using vector databases, ETL pipelines, and Retrieval\-Augmented Generation \(RAG\) architectures\. • Building scalable ingestion, indexing, and retrieval workflows supporting enterprise knowledge systems, semantic search, and low\-latency AI inference\.

Software Engineer \(AI Systems & Platform Engineering\) at Mahindra Group, Jul 2024 \- Jun 2026 · 2 yrs, • Designed and led development of a multi\-tenant RAG platform for enterprise\-scale LLM applications, reducing inference latency by 35% and infrastructure cost by 28%, delivering INR 9\+ Cr projected annual business impact\. • Engineered distributed retrieval infrastructure with semantic search, Redis caching, containerized deployments, and Kubernetes orchestration using Jenkins CI/CD pipelines across GCP and Azure\. • Led development and deployment of MPlot, a large\-scale vehicle test analytics platform serving 1200\+ enterprise users and automating high\-volume reporting workflows, generating INR 6\.23 Cr annual savings\. • Built backend infrastructure for SmartBudget AI, an enterprise budget forecasting and retrieval platform that reduced manual planning effort by 80% and improved budget optimization by 15%\. • Improved platform reliability and security posture through SAST/DAST analysis, cloud cost optimization, and remediation of critical production vulnerabilities\. • Designed scalable ML/LLM pipelines including experiment tracking, model versioning, feature orchestration, and automated retraining workflows using cloud\-native infrastructure\. • Conducted technical interviews and performed code reviews across backend, AI, and full\-stack production systems\. • Presented AI platform architectures and engineering impact metrics to senior leadership and cross\-functional stakeholders, driving enterprise\-wide adoption across multiple business units\. • Mentored interns and junior engineers across backend and AI engineering projects\.

Software Development Trainee at Mahindra Group, Jul 2023 \- Jun 2024 · 1 yr, • Developed MIDI, a production ML pipeline for Mahindra Finance processing 10K\+ financial documents monthly through OCR\-based transactional data extraction and classification pipelines\. • Built NLP extraction systems achieving 94% accuracy on digital bank statements and 82% accuracy on scanned statements across multiple financial document formats\. • Worked on backend APIs, document processing workflows, and scalable inference pipelines for enterprise financial automation systems\.

SDE Intern at Bosch Global Software Technologies, Jun 2023 \- Aug 2023 · 3 mos, Bengaluru, Karnataka, India, • Performed static code analysis and debugging for safety\-critical automotive systems, improving compliance quality and software reliability\. • Contributed to standards\-compliant embedded software workflows and code quality processes for production automotive systems\.

AI/ML Research Intern at REVA University, Jan 2023 \- Dec 2023 · 1 yr, Bengaluru, Karnataka, India, • Designed OCR and transliteration pipelines for Sharada Script manuscripts using deep learning and NLP techniques, achieving 84% accuracy\. • Published Sanskrit NLP research presented at the International Sanskrit Conference 2023, achieving 71\.87% state\-of\-the\-art accuracy for sandhi\-viccheda tasks\. • Contributed to digital preservation initiatives for ancient Indic manuscripts through applied machine learning and sequence modeling approaches\.

## Education

Bachelor of Technology \- BTech, Computer Science, Reva University

kendriya vidyalaya

## Public links

- github: https://github\.com/labhayl
- leetcode: https://leetcode\.com/labhayl

[View the original profile](https://tal.club/meet/abhay-pratap-singh-9)

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