Available to hire
Hi, I’m Darshan Deshmukh—a software engineer who loves turning data into practical, scalable solutions. I enjoy building ML-powered tools, distributed systems, and cloud-native apps that help teams automate complexity and ship reliable software. I’m currently expanding my knowledge in AI and software architecture while delivering real-world impact for telecom and analytics domains.
I have hands-on experience across ML, data platforms, and full-stack development from Tech Mahindra and Elite Softwares, and I’m pursuing an MS in Computer Science to deepen my approach to scalable software design, privacy, and observability.
Skills
Experience Level
Language
English
Fluent
Work Experience
Associate Software Engineer at Tech Mahindra
February 1, 2024 - July 31, 2024Developed an ML-powered multi-agent system that derived tactical insights from 500+ telecom fault records, automating fault analysis, severity classification, and resolution generation, reducing manual triage by 40% for engineering teams. Built and validated ML models and AI tools for intent detection and structured output generation using Google Gemini LLMs, improving fault categorization accuracy from 78% to 92% through iterative evaluation across sprint cycles. Engineered scalable, observable distributed systems using AutoGen orchestration and FastAPI microservices on GCP Cloud Run, with monitoring to reduce incident investigation time from 15 minutes to under 8 minutes. Built RAG pipelines with Vertex AI embeddings and FAISS, applying data privacy controls for sensitive operational data and cutting retrieval latency at production scale.
Software Developer at Elite Softwares
July 1, 2021 - February 29, 2024Built an enterprise data analytics and workflow-automation platform used by 50+ clients across 15+ modules, delivering analytic results to business stakeholders and executives, reducing client reporting cycles by 35%. Developed third-party integrations (SMS, email, payments) and automated invoicing workflows, reducing manual outreach by 40% and saving 10+ hours/week. Architected a scalable multi-tenant distributed system on PostgreSQL with RBAC and data privacy standards, reducing average query time by 55% and supporting 50+ concurrent tenants. Improved page-load performance by 45% across high-traffic modules through React refactors with code-splitting and memoization, and cut deployment cycle time with Dockerized CI/CD pipelines reducing failed deployments by 60%.
Education
Master of Science in Computer Science at University of Colorado Denver
August 1, 2024 - May 1, 2026Bachelor of Engineering in Computer Engineering at Savitribai Phule Pune University
July 1, 2020 - May 1, 2023Qualifications
Patent Filed: Quantum Algorithms for Machine Learning (Quantum ML) — App. 202321086733
December 1, 2023 - June 29, 2026Industry Experience
Software & Internet, Telecommunications, Professional Services, Media & Entertainment
Skills
Experience Level
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