Mervin Joseph L

Software Engineer

Tamil Nadu, India1 yr 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Reduced latency by 85% through microservices optimization.
Developed advanced NLP solutions for client projects.
Hands-on experience with AWS and containerization technologies.

Stackforce AI infers this person is a Backend-heavy Fullstack Developer with a strong focus on AI/ML applications.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Natural Language Processing (nlp)MicroservicesBackend DevelopmentCost Monitoring

Other Skills

Back-End Web DevelopmentSentiment AnalysisModel TrainingChat Bot DevelopmentJavaScriptTeamworkFastAPIFlaskRESTful APIsAPI DevelopmentLang chainAWS CloudWatchHugging Face ProductsFront-End DevelopmentInterpersonal Relationships

About

I'm a Python Full Stack Developer with Experience in Flask and Fast API. Currently open (Immediate Joiner) to AI/ML and Full Stack Developer Roles with hands-on experience building and migrating microservices using FastAPI and Flask. At AVASOFT, I worked on scalable backend solutions, reduced latency by 85%, and integrated RAG-based tools for cost monitoring. I’ve also deployed monitoring solutions with AWS CloudWatch and containerized applications using Docker. My strengths include RESTful API development, prompt engineering, and integrating LLMs using LangChain. I’m currently looking for backend or AI-integrated platform roles where I can grow fast and contribute immediately. You can see my work in my GitHub : https://github.com/MERVINJOSEPHL 🔧 Skills: Python, FastAPI, Flask, Docker, MongoDB, PostgreSQL, Redis, AWS, LangChain, React, NLP, Pandas, Numpy 📬 Open to roles in: Full Stack Development | AI/ML Roles | Agent Developer(Crew AI)

Experience

1 yr 8 mos

Total Experience

7 mos

Average Tenure

5 mos

Current Experience

Hashedin by deloitte

Software Engineer

Dec 2025 – Present · 5 mos · India · Hybrid

Contributed to a enterprise client project involving JIRA Data Center automation powered by Agentic AI.

Neuranx.ai

Senior Software Engineer

Jul 2025 – Nov 2025 · 4 mos · Chennai, Tamil Nadu, India · On-site

Led a dynamic and enthusiastic team on client-facing projects, including ContractX and Advinci.
Focused primarily on Sentiment Analysis, model training, and Natural Language Processing (NLP) using transformer-based architectures, including open-source models from Hugging Face.
Key responsibilities included:
Developing voice-to-text systems to identify speaker dialects and enhance transcription accuracy.
Extracting contractual obligations through intelligent document parsing to streamline compliance workflows.
Enhancing voice-over-telecommunication efficiency via language model optimization.
Designing and deploying chat bots for improved client interaction and engagement.

Artificial Intelligence (AI)Back-End Web DevelopmentNatural Language Processing (NLP)

Zeb

2 roles

Software Engineer

Jun 2024 – May 2025 · 11 mos · On-site

Microservices Optimization and Backend Development
Migrated and optimized microservices using FastAPI and Flask, resulting in over 85% latency reduction through code refactoring, API response time improvements, and enhanced scalability.
Refactored monolithic architecture into a modular microservice framework, enabling isolated deployments, improved scalability, and enhanced maintainability for development teams.
Developed and documented RESTful APIs to support scalable backend infrastructure, ensuring efficient data exchange and seamless system integration.
Collaborated with QA and DevOps teams to deploy, test, and debug services in Dockerized environments. Responsibilities included containerizing applications, setting up CI/CD pipelines, conducting integration testing, and resolving deployment issues.

JavaScriptTeamworkMicroservicesBackend Development

Trainee Engineer

Dec 2023 – May 2024 · 5 mos · On-site

Cost Monitoring and System Observability
Developed RAG-based cost monitoring tools to improve traceability of Amazon Bedrock model usage, enabling accurate expense tracking through Retrieval-Augmented Generation techniques in Python.
Built Python-based monitoring systems leveraging AWS CloudWatch to oversee system performance, delivering real-time operational insights and ensuring full visibility into infrastructure health.

API DevelopmentLang chain