Open to Work
Hello, I'm
Sufal Sikder
Hyderabad, India
Senior Software Engineer at Optum (UnitedHealth Group) · IIT Patna M.Tech · Specializing in C#/.NET, Python, Azure, and Generative AI
AI / ML Engineer
GenAI Developer
Senior .NET Engineer
Who I Am
About Me
I'm a Senior Software Engineer at Optum (UnitedHealth Group) with 4+ years of experience building mission-critical enterprise systems in the U.S. healthcare domain. My work spans claims processing, EDI integrations (270/271, 834, 837), and modernizing legacy .NET infrastructure to cloud-native Azure architectures.
I hold an M.Tech in Mathematics & Computing from IIT Patna (CGPA 8.84), where I researched Deep Learning and Graph Neural Networks — specifically T-GCN models for blockchain transaction forecasting. This research foundation fuels my current drive toward Generative AI and Data Engineering.
I'm actively seeking opportunities as a Senior .NET, AI/ML Engineer where I can bridge enterprise backend expertise with cutting-edge AI applications.
4+
Years Experience
IIT
Patna M.Tech
8.84
M.Tech CGPA
US
Healthcare Domain
What I Know
Technical Skills
Backend & Cloud
Integration & Messaging
AI/ML & GenAI
Data & Analytics
Where I've Worked
Experience
- BizTalk integrations for U.S. healthcare EDI transactions (270/271, 834, 837) supporting millions of healthcare members
- Led NServiceBus modernization: migrating message queues from legacy MSMQ → Azure Service Bus
- Implemented Azure Entra ID SSO using OIDC protocol for enterprise authentication across applications
- Driving .NET Framework 4.8 → .NET 8 platform modernization for improved performance and long-term support
- Leveraging GitHub Copilot to accelerate development productivity and code review quality
- Built Dual Health Plan Identification System (.NET + SQL Server) enabling accurate member enrollment tracking across health plans
- Developed Aging Claims Reporting Automation (Python + .NET) reducing manual reporting effort by 95%
- Engineered backend for Women's Health prenatal care tracking — processing sensitive patient data at enterprise scale
- Built Healthcare File Loader Tool for large batch workloads with optimized T-SQL stored procedures and performance tuning
What I've Built
Projects
ClaimVision AI
End-to-end Medical Document Intelligence platform. Extracts structured data from Claims, EOBs, Rx, Lab Reports, Imaging, Discharge Summaries, Bills, and full EDI/X12 (837 / 835 / 270 / 271 / 276 / 277 / 278 / 834) using GPT-5. Adds patient management, episodes of care, configurable validation rules, an exception queue, and AI Chat over the full document corpus via semantic search. Multi-tenant with API keys, HMAC-signed webhooks, audit log, and CSV/JSON export.
NL2SQL Healthcare
GenAI analytics tool that turns plain-English questions into queries on two fully working data sources: live SQL Server databases or drag-drop Excel uploads (.xlsx/.xls up to 25 MB, processed entirely in RAM — data never hits disk). Acts as an on-demand spreadsheet analyst — supports Pivots, VLOOKUP, Top-N per group, running totals, duplicate detection, SUMIF/COUNTIF, monthly totals, % of total. JWT-secured with role-based access.
Universal Code Modernization Factory
Autonomous multi-agent AI pipeline that extracts business logic from legacy codebases and reconstructs it in modern frameworks — not line-by-line syntax translation. Five specialized agents (Archaeologist · Analyst · Coder · Compiler · Auditor) orchestrated by LangGraph handle dependency scanning, business-rule extraction into language-agnostic specs, code generation, self-healing compilation with retry loops, and OWASP security auditing. Real-time terminal UI, per-call token cost tracking with budget guard, GitHub repo integration, and ZIP download of migrated output + audit report.
RashiSutra.com
AI-powered Vedic astrology web application featuring automated birth chart reading, an intelligent chatbot powered by Google Cloud Vertex API, and RAG-style Q&A for personalized astrological insights.
T-GCN for Blockchain Forecasting
M.Tech thesis at IIT Patna. Implemented a Temporal Graph Convolutional Network (T-GCN) combining GCN + GRU architectures to forecast transactional amounts in blockchain networks. Evaluated with MAE, RMSE, and MAPE metrics against baseline models.
Secure Smart Contracts (Vyper)
Comparative implementation and security analysis of smart contracts in Vyper versus Solidity. Analyzed security trade-offs, gas efficiency, common vulnerability surfaces, and best practices across both smart contract languages.
Complaint Management System
Enterprise complaint management platform built during ONGC internship. Full-featured system with admin and user role separation, complaint lifecycle tracking, assignment workflows, priority queuing, and reporting dashboards.
Academic Background
Education
M.Tech — Mathematics & Computing
Indian Institute of Technology Patna
–
CGPA
8.84 / 10
Thesis
Deep Learning for Forecasting Transactional Amount in Blockchain Network using T-GCN (Temporal Graph Convolutional Network: GCN + GRU)
- Graph Neural Networks & Deep Learning research
- Time-Series Forecasting methodologies
- Blockchain data analysis
B.Tech — Computer Science & Engineering
Govt. College of Engineering & Ceramic Technology, Kolkata
–
CGPA
8.81 / 10
- Core Computer Science fundamentals
- Data Structures & Algorithms
- Software Engineering principles
- ONGC industrial internship
Certifications
AI Dojo — Generative AI Foundations
Optum · UnitedHealth Group
Let's Connect
Get In Touch
Actively looking for AI / ML Engineer, GenAI Developer, and Senior .NET Engineer roles. 4+ years of enterprise experience · IIT Patna M.Tech · Hyderabad (open to remote & relocation). My inbox is always open — let's talk.
Targeting roles: