Software Engineer building AI-powered products end-to-end | Product-minded | OpsCopilot (AI Ops Platform)









Bachelor's Degree, Computer Science
Vellore Institute of Technology

Master of Arts
FIITJEE
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Download Tal BossSoftware Engineer building AI-powered products end-to-end | Product-minded | OpsCopilot (AI Ops Platform)
I’m a software engineer with a strong product mindset, focused on building and shipping AI-powered systems end-to-end, from problem discovery and stakeholder alignment to architecture, execution, and iteration. I recently built OpsCopilot, an AI Ops assistant designed to reduce operational friction for engineering and support teams. The product combines RAG, multi-agent orchestration, and workflow automation to help teams query internal knowledge, create tickets, and resolve issues faster from a single interface. I owned the product end-to-end: defining the problem, scoping features, designing the system architecture, building the backend and frontend, and deploying it as a production-ready platform. While building it, I made real trade-offs around latency, reliability, API limits, and cost, the same constraints faced in real production environments. Before this, I worked on a Flower Auction Management System for a traditional wholesale market. The problem wasn’t just technical, it was operational. Existing workflows were manual, opaque, and resistant to change. I designed a system to digitize auction workflows, improve price transparency, and streamline daily operations. Through this project, I gained hands-on experience with stakeholder resistance, user adoption challenges, and the importance of designing products that fit real-world behaviors, not just ideal technical solutions. Across projects, I approach problems from both sides: As a product thinker: starting with user pain points, constraints, success metrics, and rollout realities As an engineer: building scalable, maintainable systems that actually work under real conditions I’ve complemented my hands-on work with certifications and structured learning in Product Management from IBM, RAG with Agentic AI from IBM, software engineering, data, and AI systems, but I value execution and outcomes over credentials alone. I’m interested in roles at the intersection of Product, Engineering, and AI, including Product Manager, Technical Program Manager, and AI Product Manager roles, where I can work closely with engineers, stakeholders, and users to turn complex problems into usable, high-impact products. I value clarity, ownership, and execution. I enjoy ambiguous problems, cross-functional collaboration, and shipping things that people actually use.
Bengaluru
anthropic apis
antigravity
claude code
claude
codex
gemini
Product Developer at Sisense Info Technology Private Limited, Jul 2025 - Present · 1 yr 4 mos, • Identified operational inefficiencies (manual bidding, pricing disputes, delayed settlements) through on-ground research with 15+ stakeholders including sellers, buyers, and auctioneers • Designed and built a digital auction platform in 15 days, enabling real-time bidding, automated price discovery, and transaction tracking • Successfully deployed solution serving 15+ daily active users processing 40+ transactions/day, reducing auction cycle time by 60% compared to manual processes • Drove user adoption through training sessions and iterative feedback loops, achieving 90%+ satisfaction in post-deployment survey
Freelance Product Developer at Freelancer, Feb 2025 - Apr 2025 · 3 mos, Collaborating with clients to understand business requirements and convert them into scalable digital product solutions. Managing end-to-end product development lifecycle including requirement gathering, planning, execution, testing, and deployment. Building AI-powered applications, workflow automation systems, and analytics platforms based on client needs. Conducting stakeholder discussions and user research to identify pain points and define MVP scope. Coordinating product roadmaps, feature prioritization, and delivery timelines to ensure successful project completion. Developing and integrating AI solutions using RAG architectures, LangChain, and multi-agent workflows. Working with cross-functional tools and technologies including Python, SQL, REST APIs, Docker, and cloud platforms. Delivering functional prototypes and production-ready solutions within agile development cycles. Providing post-deployment support, iterative improvements, and user training for better adoption and usability. Managing multiple freelance projects simultaneously while ensuring quality, client satisfaction, and timely delivery.
Product Developer at Self-Employed (Remote), Jan 2025 - Jul 2025 · 7 mos, Delivered end-to-end product solutions for 4 clients across marketplace platforms, analytics tools, and workflow automation, generating revenue through project-based engagements. Identified pain points through stakeholder interviews and translated requirements into functional MVPs within 2–4 week development cycles. Owned product roadmap, prioritization, and delivery timelines while balancing technical feasibility and business goals.
AI Product Builder at Opscopilot, Nov 2024 - Jan 2025 · 3 mos, • Owned end-to-end product development of an AI-powered operations assistant for monitoring, root-cause analysis, and decision support • Defined product requirements, user journeys, and MVP scope for an AI system using RAG and multi-agent orchestration • Implemented agent workflows with contextual memory and tool-calling using LangChain and LangGraph, enabling autonomous task execution • Built and deployed functional prototype demonstrating 80%+ accuracy in log analysis and anomaly detection scenarios
Builder at Personal Project (Remote), Nov 2024 - Jan 2025 · 3 mos, Owned end-to-end product development of an AI-powered operations assistant for monitoring, root-cause analysis, and decision support. Defined product requirements, user journeys, and MVP scope for an AI system using RAG and multi-agent orchestration. Implemented agent workflows with contextual memory and tool-calling using LangChain and LangGraph, enabling autonomous task execution. Built and deployed functional prototype demonstrating 80%+ accuracy in log analysis and anomaly detection scenarios.
Bachelor's Degree, Computer Science, Vellore Institute of Technology
Master of Arts, FIITJEE
github: https://github.com/shyam0103