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Aditya Verma
AI Engineer | Node.js | React.js | TypeScript | AI | AWS | Docker | DevOps
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About Aditya Verma
Software Engineer with experience building scalable full-stack applications, backend systems, and AI-powered enterprise solutions. I enjoy solving complex engineering problems and turning ideas into production-ready products. Currently at MiClient, I build enterprise CRM solutions using TypeScript, Node.js, React.js, Next.js, MySQL, Redis, Docker, Jenkins, and AWS. My work includes developing AI-powered workflows, scalable REST APIs, microservices, CI/CD pipelines, and performance optimization. I also improved critical backend API performance by 77% (970ms → 220ms) through query optimization and efficient database design. I have hands-on experience with LLMs, Generative AI, cloud deployment, system design, caching, and modern software architecture. Outside of work, I continuously improve my problem-solving skills through Data Structures & Algorithms, system design, and personal projects. Tech Stack: TypeScript • JavaScript • React.js • Next.js • Node.js • Express.js • PostgreSQL • MySQL • Redis • Docker • Jenkins • AWS • REST APIs • Microservices • AI/LLMs I'm always excited to connect with engineers, recruiters, and teams building innovative products at scale.
SoftwareAICreative
My LinkedIn audience
- Followers
- 704
- Est. median reach
- 495
- Engagement
- 3.0%
My most engaged audience
85% Engineering / Data
From 48 people who reacted to or commented on my posts
Public LinkedIn data · Sep 28, 2026
Recent posts
All posts on LinkedInAditya Verma
I’m incredibly happy to announce that I have been selected as a Software Engineer at MiCLIENT! 🎉 This journey has been full of learning, challenges, and self-discovery. From diving deep into Data Structures & Algorithms, System Design, Operating Systems, to building hands-on experience in Development, it has taken consistent effort, sleepless nights, and endless debugging sessions to reach here. I would like to express my heartfelt gratitude to Shriram R, Head of the Placement Cell, whose continuous support and guidance played a crucial role in shaping this journey. His mentorship was truly a backbone during the entire placement process. To all aspiring engineers out there — stay consistent, trust the process, and never stop learning. Your efforts will pay off. 💪 Excited for this new chapter and looking forward to growing, building, and contributing at MiClient! 🚀 #Gratitude #SoftwareEngineer #MiClient #PlacementSuccess #HardWorkPaysOff #DSA #SystemDesign #Development #CareerJourney #NeverGiveUp #LinkedInFamily
39 reactions · 6 commentsViewAditya Verma
I’m happy to share that I’m starting a new position as Software Engineer at MiCLIENT!
25 reactions · 16 commentsViewAditya Verma
Spent the past few days building an agentic debugging benchmark - an LLM agent that investigates bug reports using real tools (read files, search code, run tests) and has to diagnose the actual root cause, not just describe a plausible one. The most useful bug I found wasn't in my test cases. It was in my own agent. One case involved a class called UserRepository. The agent kept citing a fix in user_repository.py a file that doesn't exist. The class actually lives inside cache.py. I told it the file was wrong and asked it to retry. It made the exact same guess again. Turns out "you're wrong, try again" isn't corrective feedback for an LLM — it's just noise. What actually fixed it was making the retry mechanical: only cite a file path that was literally returned by a tool call in this conversation. One sentence, immediate fix. The bigger lesson came later. I almost shipped this without ever measuring whether the tool use was doing anything. Once I built a no-tools baseline to compare against, the gap was obvious the baseline capped out at 3/5 on every single case, because it had nothing to verify its own answer against. The agent wasn't winning because it "reasoned better." It won because it had to prove its work before I'd accept it. If you're building agents: measure against a baseline before trusting your gut on whether the extra machinery is actually helping. #AIEngineering #LLMAgents #AgenticAI #SoftwareEngineering #BuildInPublic
8 reactions · 0 commentsView
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Who engages with my posts
Based on 48 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
Based on 48 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
Based on 48 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
Based on 48 people who reacted to or commented on my posts. Percentages use the profiles that could be classified.
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Aditya Verma is a B2B LinkedIn creator based in India with 704 followers, posting about Software, AI, and Creative. On Naano, one sponsored LinkedIn post by Aditya Verma costs €375, a fixed price per post. Aditya Verma is not taking new bookings right now.
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