Neeraj Mahapatra

Software Engineer

Pune, Maharashtra, India6 yrs 10 mos experience

Highly StableAI Enabled

Key Highlights

Proficient in Python and Backend Development.
Experienced in Generative AI and RAG systems.
Strong foundation in scalable system design.

Stackforce AI infers this person is a Full-stack Developer specializing in SaaS and Healthcare solutions.

Contact

Skills

Core Skills

PythonBackend DevelopmentGenerative Ai

Other Skills

FlaskSQLAWSPython (Programming Language)LangChainLlamaindexRAG chatbotAndroid DevelopmentFlutterCommunicationgen aiVector DatabasesPrompt EngineeringTable TennisC (Programming Language)

About

Proactive Full-stack developer with 3 years of experience in designing scalable systems and solving complex real-world problems. Skilled in Python, SQL, React, and AWS, with hands-on experience in Backend Development, System Design, and Generative AI. Strong foundation in building end-to-end solutions across diverse domains such as e-commerce, analytics, and enterprise applications.

Experience

6 yrs 10 mos

Total Experience

3 yrs 6 mos

Average Tenure

3 yrs 4 mos

Current Experience

Mindstix software labs

3 roles

Senior Member of Technical Staff

Jan 2026 – Present · 4 mos

Member of Technical Staff

Jul 2023 – Jan 2026 · 2 yrs 6 mos

Designed and implemented a Flask + SQL-based state machine architecture using the Factory Design Pattern, providing granular workflow states to end users.
Collaborated on architectural design and led a small team to scale and optimize state management modules for high-traffic production systems.
Developed and optimized algorithms provided by data scientists to generate personalized offers.
Engineered a Retrieval-Augmented Generation (RAG) backend for a WhatsApp recommender system using LLMs (OpenAI, Bedrock) and AWS Lambda, enabling seamless AI-driven insights for users in low-network regions.
Built a Flask-based microservice application (Enzyme Accelerator) using Factory and Strategy Patterns, reducing RAG use-case bootstrapping time by 30%.
Conducted code reviews, mentored junior developers, and ensured robust delivery through unit and manual testing.
Contributed to mobile development by integrating Easebuzz payment gateway using Kotlin (Android), enhancing transaction reliability and user experience.
Proficiently explored and implemented LangChain and Llamaindex frameworks.
Orchestrated LangChain deployments across diverse platforms including AWS and GCP.
Developed advanced Rag chatbots for enhanced conversational AI experiences.
Engineered accelerators to streamline Gen AI application development processes.
Collaborated closely with AWS bedrock models, leveraging their capabilities for innovative solutions.
Learnt Figma

FlaskSQLAWSPython (Programming Language)LangChainLlamaindex+3

Intern

Jan 2023 – Jul 2023 · 6 mos

Attended a comprehensive bootcamp focused on HTTP/HTTPS, APIs, Docker, and Cloud services.
Acquired proficiency in Android development and actively contributed to the Android Project, where I integrated the payment gateway.
Explored Flutter and successfully created an office seat booking app.
Became a member of the LLM team, specializing in prompt engineering and providing innovative solutions to address search problems for different businesses.
Developed strong communication skills, particularly in the areas of email writing and effective communication.

Android DevelopmentFlutterCommunication