Utkarsh Soni on Tal
Headline
Forward Deployed Engineer | AI/ML Backend | Data Scientist | LLM
About
I build AI systems, fintech products, and backend infrastructure — and I've done it for real clients, not just in classrooms. At Bitvivid Solutions, I work across the full stack of AI engineering: training computer vision models for live surveillance systems, building LLM-powered pipelines with LangChain, and deploying Java + Quarkus microservices on Kubernetes. Every day involves real production systems, real clients, and real consequences if something breaks. Before that, I spent time at Think AI scraping and processing 110,000+ rows of clinical trial data, fine-tuning ML models, and integrating them with LLM-based search — giving doctors and researchers natural language access to complex trial outcomes. On the side, I build for clients: → Algorithmic trading system — automated strategy execution, backtesting engine, and live broker API integration in Python. Built for a private client (codebase under NDA). → Loan management system — full-stack app in Laravel + Flutter. Borrower onboarding, EMI scheduling, automated PDF reporting, and a mobile app delivered to production. Built from scratch, handed off live. My stack spans Python, Java, Quarkus, Spring Boot, FastAPI, Django, LangChain, Docker, Kubernetes, Azure, PostgreSQL, Laravel, and Flutter. I'm comfortable moving between ML research and production backend — which is rare, and I've learned it matters. I hold a B.Tech in Artificial Intelligence & Data Science from MIT Ujjain (2025), and I've been a finalist at SuperHack 2025 and Google GenAI 2025. Right now I'm open to: ✦ Remote ML Engineering or Backend roles ✦ Freelance contracts (Python · Java · Laravel · Flutter) ✦ Collaborations in FinTech, AI, and computer vision If you're building something interesting in AI or fintech — let's talk. 📩 utkarshsoni893@gmail.com
Work experience
Data Scientist at Bitvivid Solutions, Nov 2025 - May 2026 · 7 mos, Remote, • Architected 3 production microservices (Audit System, Report Service, SMPP Adapter) in Java + Quarkus, handling 10,000+ daily events with sub-200ms response times — deployed on Kubernetes with zero-downtime rolling updates. • Owned infrastructure for 4 enterprise client systems including NMS dashboards and VM monitoring, managing Kubernetes pod orchestration, auto-scaling, and CI/CD pipelines
Data Science Intern at Think AI Corporation, an Inc 5000 company, Aug 2025 - Oct 2025 · 3 mos, Indore, Madhya Pradesh, India
Data Analyst at Quauto Technologies Pvt Ltd, Mar 2024 - Aug 2024 · 6 mos, Indore, Madhya Pradesh, India
Freelancer at Freelancer.com, Jan 2021 - Jan 2023 · 2 yrs 1 mo, Remote
AWS Cloud at Amazon Web Services (AWS), Mar 2022 - Mar 2022 · 1 mo
Education
Bachelor of Technology - BTech, Artificial Intelligence And Data Science, Rajiv Gandhi Prodyogiki Vishwavidyalaya
Web Page, Digital/Multimedia and Information Resources Design, Cisco Networking Academy
