Software Engineer @ LabOps | Backend Architecture & Generative AI Specialist
I'm a passionate Software Engineer specializing in scalable backend systems and Generative AI integration. Currently building high-performance microservices and deploying LLMs at scale at LabOps, Kolkata. I thrive in dynamic environments, tackling complex challenges and delivering robust solutions.
- π Currently Working On: Deploying LLMs (Qwen, BERT, ViT) on GCP with GPU acceleration, building ranking/recommendation engines
- π οΈ Core Expertise: Backend Architecture, RESTful APIs, Microservices, GenAI (LLMs, BERT, Transformers), Cloud Infrastructure
- π Education: B.Tech in Computer Science (7.98 GPA) with proficiency in Information Security - JUIT
- π± Always Learning: Advanced ML pipelines, system design patterns, cloud-native architectures
- π Achievements: IIT Mandi Catalyst Incubation | HP CM Startup Scheme | Xartup Fellowship ($5K AWS Credits)
- Deployed Qwen LLM on GCP using Kubernetes and Cloud Run with GPU-enabled endpoints, implementing auto-scaling to support thousands of concurrent sessions
- Designed and implemented robust RESTful APIs for ranking and recommendation engines, streaming user chat logs into BigQuery and exposing personalized results via FastAPI
- Optimized API performance by introducing PostgreSQL indexing strategies, Redis caching layers, and SQL query refactoring - achieving substantial latency reductions and high-throughput for customer-facing services
- Fine-tuned and deployed various ML models (BioClinical BERT, Qwen3-4B, ViT) on GCP with GPU acceleration, creating custom training pipelines and optimizing tokenization
- Engineered mobile app backend features, including a multi-tenant RBAC hierarchy using Django REST and Row-Level Security with dynamic authorization policies
- Enhanced system resilience by diagnosing production-critical defects across Dockerized microservices and implementing centralized alerting with Alertmanager
- Implemented Chain of Thought prompting by structuring intermediate reasoning steps, directly enhancing model interpretability
- Developed scalable backend features using Django REST Framework, including user management, role-based access control, and document collaboration workflows
- Optimized database performance by profiling and refactoring slow SQL queries in PostgreSQL, resulting in significantly faster API response times
- Integrated Redis caching for read-heavy endpoints, implementing invalidation logic to reduce database load and improve application responsiveness
- Collaborated with DevOps team to diagnose and resolve Docker container networking bugs, ensuring stable deployment environments
Tech Stack: Python, Django, AWS, Visual Cryptography Algorithms
- Developed a secure online voting prototype leveraging visual cryptography algorithms to split vote data into visual shares
- Ensured data confidentiality and prevented unauthorized access through cryptographic techniques
- Successfully created a prototype mechanism for secure voting with enhanced security measures
π― Recognition & Incubation:
- β Incubated under IIT Mandi Catalyst Program
- β Incubated under HP CM Startup Scheme (State Government of Himachal Pradesh)
- β Xartup Fellowship - Awarded $5,000 worth of AWS credits
π
IIT Mandi Catalyst Incubation - Selected for startup incubation program
π
HP CM Startup Scheme - Government-backed incubation for innovative solutions
π
Xartup Fellowship - Recognized with $5K AWS credits for technical excellence
π Academic Excellence - 7.98/10 GPA with proficiency in Information Security
- π€ Scaling LLM deployments (Qwen, BERT, ViT) on GCP with Kubernetes and GPU acceleration
- β‘ Building high-performance ranking and recommendation engines with FastAPI and BigQuery
- π¬ Optimizing database performance with advanced PostgreSQL indexing and Redis caching strategies
- π‘οΈ Implementing robust multi-tenant RBAC systems with Row-Level Security
- π Exploring Chain of Thought prompting techniques for enhanced AI model interpretability
- ποΈ Deep diving into microservices architecture and distributed systems patterns
I'm currently open to new opportunities and collaborations! Whether you have a project in mind, want to discuss backend architecture, GenAI applications, or just want to say hi - feel free to reach out!
- π§ Email: [email protected]
- πΌ LinkedIn: linkedin.com/in/mridul-singhal-44aa62202
- π Portfolio: mridul45.github.io/Portfolio
- π± GitHub: You're already here! Feel free to explore my repositories π
π‘ "Building scalable systems and deploying AI models, one API at a time"


