Headline

AI Solutions Analyst @ LimeChat | Conversational AI | GenAI | LLMs | AI Agents | Prompt Engineering | AI/ML

About

AI Solutions Analyst at LimeChat, working at the intersection of Conversational AI, GenAI, analytics, and product. I work on building and improving AI-powered conversational experiences for real-world customer journeys. My work involves designing conversational flows, auditing and testing live bots, analyzing conversation logs and user behavior, identifying failure patterns, improving prompts and AI behavior, and driving quality improvements across AI systems. Previously, I worked as a Software Intern (AI/ML) at Geany Softech, where I built a LangGraph-based enterprise AI assistant using Python, FastAPI, RAG, and LLMs, along with prompt workflows and LLM evaluation. I have also built projects involving: • AI-powered personalized recommendation systems • Natural Language to SQL using LLMs • RAG-based AI assistants • Machine learning and predictive analytics • REST APIs and AI application backends Technical interests include Conversational AI, Generative AI, LLMs, Agentic AI, Prompt Engineering, RAG, Machine Learning, Python, SQL, FastAPI, LangGraph, and AI product development.

Location

Bengaluru

AI stack

claude

cursor

hugging face

langgraph

langsmith

notion

Work experience

AI Solutions Analyst at LimeChat, Sep 2026 - Present · 1 mo, Bengaluru, Karnataka, India, • Design and build AI-powered conversational solutions aligned with customer journeys, brand tone, and business objectives. • Design conversational flows and customer journeys to create intuitive, reliable, and scalable chatbot experiences. • Audit live bot journeys to identify broken flows, configuration issues, functional gaps, UX issues, and missed edge cases. • Perform structured end-to-end and regression testing across critical customer journeys and releases. • Analyze conversation logs, bot behavior, prompts, and analytics to identify failure patterns and perform root-cause analysis. • Improve prompts, AI behavior, fallback handling, conversation flows, and overall bot reliability based on audit findings and data-driven insights. • Track issues through reports and dashboards, coordinate with Product, Engineering, AI, and Customer Success teams, and drive issues through resolution. • Work across GenAI, conversational AI, analytics, and product problem-solving to improve automation, containment, CSAT, conversion, and overall customer experience.

Software Intern (AI/ML) at Geany Softech Pvt. Ltd., Jul 2025 - Apr 2026 · 10 mos, Navi Mumbai, Maharashtra, India, • Built and deployed a LangGraph-based enterprise AI assistant using Python, FastAPI, and LLMs, automating internal knowledge retrieval and reducing manual support workload by approximately 40%. • Designed prompt workflows and evaluated LLM outputs to improve response quality and reliability. • Implemented RAG pipelines for enterprise documentation and knowledge retrieval. • Worked on transformer architectures, tokenization, and pre-training research for Sanskrit LLMs. • Collaborated with developers and stakeholders to iterate on production AI features.

Education

Bachelor of Technology, Electrical, Electronics and Communications Engineering, MIT Academy of Engineering

10+2, Science, Shubhamraje Jr. College

Public links

github: https://github.com/adityam24

adityamahale.tech: https://adityamahale.tech/