A Journey from Learner to GenAI Engineer
Aditya Rao rewrote his professional story with Uncodemy's GenAI track. Within a focused stretch of hands-on training, he built expertise in Python, generative AI models, prompt engineering, and LLM integration — earning a 6 LPA offer as a GenAI Engineer at Iris Software, Gurugram.
Aditya Rao
GenAI Engineer
6 LPA
Salary Package
45
Days to Hire
Iris Software
Global IT Services
Top 5%
Cohort Ranking
The Pivot
Before the Program
- No structured exposure to programming or AI tools.
- Confused about how to enter the generative AI industry.
- Weak grasp of Python, LLMs, and prompt engineering.
- Zero hands-on projects or GitHub presence.
After the Program
- Confident in Python, LLM APIs, and prompt engineering workflows.
- Built multiple end-to-end GenAI projects with clean documentation.
- Cleared every interview round with structured answers.
- Secured a full-time GenAI Engineer role at Iris Software.
The Learning Journey Timeline
Phase 1: Strengthening Fundamentals
Started with Python syntax, control flow, and core AI concepts. Practiced data handling and model interaction using APIs and real datasets.
Phase 2: Applied Generative AI
Moved into LLMs, prompt engineering, fine-tuning, and RAG pipelines. Learned model evaluation, embedding techniques, and deployment through guided projects.
Phase 3: Interview Readiness
Focused on Python coding practice, case-study discussions, resume refinement, and live mock interviews to build confidence for real hiring rounds.
Core Tech Stack Mastered
Capstone Project Mastery
Intelligent Document Q&A Chatbot
GENERATIVE AIA retrieval-augmented generation (RAG) project built to answer questions from large document sets, helping teams extract insights without manual reading.
Working with large, unstructured documents containing mixed formats and ensuring accurate, context-aware answers without hallucination.
Built a RAG pipeline using LangChain, vector embeddings, and an LLM API. Implemented semantic search, context injection, and response validation, then deployed via a Streamlit interface.
Performance Scorecard
Overcoming Challenges
Aditya's biggest hurdle was moving from theoretical understanding to practical implementation. Concepts like prompt engineering, embeddings, and RAG pipelines felt abstract until he started building projects from scratch. Regular mentor check-ins and daily coding practice helped him convert confusion into clarity, and by the final phase, he was confidently explaining his GenAI models to interviewers.
Interview Preparation Intensive
Mock Interviews
Participated in 10+ mock sessions covering Python, GenAI concepts, LLMs, and prompt engineering with detailed feedback after each round.
Resume Workshops
Redesigned his resume around project outcomes and quantifiable results, making it ATS-friendly and recruiter-ready.
Soft Skills Training
Learned to frame answers using the STAR technique and to explain complex AI ideas in simple, business-friendly language.
Interview & Placement Process
Online Assessment
Solved a timed test with Python, AI fundamentals, and logical reasoning problems within a strict time limit.
Technical Round
Answered live coding and concept-based questions on LLMs, prompt engineering, and RAG pipelines.
Case Study
Walked the panel through a complete GenAI project — from problem framing to deployment — with clear reasoning.
Managerial Round
Discussed teamwork, adaptability, and long-term career goals in an open conversation with the hiring manager.
The Offer
Iris Software
GenAI Engineer
Joining Iris Software in Gurugram as a GenAI Engineer, working with one of the world's leading IT services platforms to build AI-driven products and insights.
Trajectory: The Ascent
Aditya's compensation growth from his early roles to his current GenAI Engineer position at Iris Software, showing the steady climb that ended with a 6 LPA offer.
From Beginner to GenAI Engineer
- 1.5 LPA — Trainee / Intern
- 2.5 LPA — Junior AI Associate
- 4.0 LPA — AI/ML Engineer
- 5.0 LPA — Senior AI Engineer
- 6.0 LPA — GenAI Engineer at Iris Software
Trainer & Mentor Team
"Aditya had that rare mix of curiosity and persistence. He never rushed through concepts — he sat with problems until they made sense. Watching him grow from writing his first Python script to confidently presenting a full GenAI pipeline in interviews has been genuinely rewarding for our entire mentor team."
- Mentor Panel, Uncodemy
"I came in unsure whether I belonged in tech. I'm leaving as a GenAI Engineer at Iris Software. The structured curriculum, honest feedback, and relentless mentor support made all the difference."
- Aditya Rao
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