Dedicated and technically adept, I bring 18+ years of experience steering software development initiatives with Java and Python.
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Helios Solutions
Backend Engineer
June 21, 2026 – Present
crewai_report_generation_app
November 11, 2024 – November 11, 2024
A streamlined application built with CrewAI for generating reports using intelligent agent orchestration. This repository includes configurations for agents and tasks, crew management logic, and a main entry point for passing user queries.
View Projectlangchain-conversation-memory-examples
November 6, 2024 – November 6, 2024
Python programs demonstrating various methods for managing conversation memory using LangChain's tools
View Projectpersistent-ai-chatbot-with-postgresql
November 6, 2024 – November 6, 2024
Memory-powered conversational AI chatbot built with LangChain, Google Generative AI, and Gradio, integrated with PostgreSQL for persistent storage of conversation history.
View ProjectgenerativeAI-chatbot-with-memory
November 6, 2024 – November 6, 2024
The LangChain chatbot retains conversation history and can recall details across multiple interactions within the same session.
View Projectlangchain-output-parsers
November 4, 2024 – November 4, 2024
Demonstrate flexible output parsing techniques using LangChain's powerful chaining and output parsing capabilities.
View Projectlangchain-llm-prompt-examples
November 1, 2024 – November 4, 2024
LangChain framework to interact with Large Language Models (LLMs) for different prompt construction and execution techniques.
View Projectlangchain-query-over-sql-database
October 19, 2024 – October 19, 2024
The use of LangChain to build an SQL query chain using a Large Language Model (LLM) from OpenAI.
View ProjectAI_AutoGen_LiteLLM_Ollama
January 19, 2024 – January 22, 2024
Ollama is a tool that allows you to run open-source large language models (LLMs) locally on your machine. It supports a variety of models, including Llama 2, Code Llama, and others.
View Projectspringboot-microservice-best-practices
May 14, 2021 – May 14, 2021
This project provide guidelines for development team to follow while developing microservices in spring boot. Basically developed code should be general and bug free and deployable to any environment without much huddles.
View ProjectEmployeeDepartment-JDBC
March 3, 2017 – March 3, 2017
JDBC Program - Employee Department Class.
View ProjectCultural Fit Analysis
The candidate's projects are heavily skewed towards AI/ML and LangChain, indicating a strong interest in this niche. While this demonstrates depth in a specific area, the lack of diversity in other backend technologies (e.g., broader database experience beyond PostgreSQL for AI, message queues, caching, distributed systems) suggests a potentially narrow focus for a general Backend Engineer role. The single professional experience entry is current, but no details are provided about the role's responsibilities or impact.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear, but there are no completed psychometric or English tests.