Ajith Adhithya MukkerA
Junior AI Engineer • Hyderabad, India • a***********************@gmail.com • +91*******924 • drivetube.ai/•••••
Professional Summary
Junior AI Engineer with 0 years of experience building Generative AI and NLP applications focused on LLM-based systems and retrieval-driven assistants. Skilled in designing Retrieval-Augmented Generation (RAG) pipelines, embeddings-based evidence matching, and prompt/structured tool-calling workflows using Python and Sentence Transformers. Experienced integrating LLM runtimes (Gemini, OpenAI, Ollama) with production backends via FastAPI and WebSockets and operationalizing vector search using Qdrant. Delivered features for career platforms and conversational coaching systems, including a resume-evidence matching engine and an adaptive mock-interview pipeline, and contributed to multi-model evaluation sprints. Comfortable owning end-to-end ingestion, retrieval, and evaluation workflows, improving retrieval relevance and reducing hallucination risk through context engineering and targeted prompt interventions.
Technical Skills
Programming Language: Python,JavaScript,TF-IDF,Text Preprocessing
Backend Technologies: FastAPI
Databases: PostgreSQL
Version Control & Development Tools: GitHub
DevOps & Infrastructure: Docker
API & Integrations: RESTful APIs
Data Analysis & Visualization: Model Training,Streamlit
Machine Learning & AI: Classification,Embeddings,Structured Tool Calling
AI/ML Frameworks & Libraries: scikit-learn
Generative AI & LLMs: OpenAI,Gemini,Ollama
Vector Databases & RAG: Qdrant,Sentence Transformers,RAG
MLOps: Feature Engineering
Work Experience
Social Tek AI & Business Solutions
Hyderabad, India
Junior AI Engineer
Feb 2025 – Present
Built generative-AI features and conversational systems for Ziro.digital (career platform) and related AI coaching products, focusing on retrieval, evaluation, and production integrations.
Tech Stack: Gemini 3 Flash Preview, Gemini Live, OpenAI, Sentence Transformers, JavaScript
- Architected the AI Resume feature for Ziro.digital using Gemini 3 Flash Preview and structured tool calling to generate JD-targeted, ATS-friendly resumes with unsupported-claim detection.
- Designed an evidence-matching layer with Sentence Transformers embeddings to align student skills and projects to job descriptions and prevent hallucinated credentials.
- Developed the adaptive mock-interview engine, implementing question-adaptation logic and a transcript analysis pipeline that scored responses and produced targeted practice roadmaps.
- Implemented a persistent WebSocket stream to Gemini Live to enable low-latency native-audio conversations between browser clients and the model.
- Drove model-evaluation sprints performing error analysis, retrieval testing, and prompt evaluation; documented failure modes and recommended retrieval and prompt adjustments to improve response relevance.
- Delivered multi-model AI systems combining Gemini and OpenAI models for Ziro.digital, part of a platform used by 68.8K+ visitors over a 90-day period.
- Developed a browser-side audio capture demo using JavaScript to stream microphone data to the WebSocket session for low-latency voice interactions.
Social Tek AI & Business Solutions
Hyderabad, India
Data Science Intern
Aug 2024 – Jan 2025
Supported chatbot and NLP initiatives including dataset preparation, baseline modeling, and evaluation to improve intent detection and conversational quality.
Tech Stack: Python, TF-IDF, scikit-learn, PostgreSQL, REST APIs, GitHub
- Processed and labeled conversational datasets and implemented text preprocessing pipelines in Python to produce training-ready data for intent models.
- Implemented TF-IDF and sentence-transformer baselines for intent classification and evaluated model performance using scikit-learn metrics to guide model selection.
- Developed data pipelines for chat logs, cleaned and tokenized messages, and stored processed features in PostgreSQL to support model training workflows.
- Validated model outputs with test harnesses, documented failure cases, and produced recommendations to improve context handling and prompt design.
- Supported integrating chatbot backends with REST APIs and supported WebSocket session handling for live demonstrations.
- Authored evaluation reports and maintained preprocessing notebooks and model artifacts in GitHub to enable reproducible experiments.
Projects
Workspace Memory AI | 2026 – 2026
Tools Used: Python, FastAPI, Qdrant, Sentence Transformers, RAG, Docker, Ollama, Streamlit
- Engineered an end-to-end document ingestion pipeline with semantic chunking and custom embedding generation using Python and Sentence Transformers.
- Implemented metadata-aware vector search in Qdrant with context-expansion heuristics to improve retrieval relevance for semantic Q&A.
- Designed an intent-based RAG routing layer to dispatch queries between a local LLM running on Ollama and the vector store, served via FastAPI.
- Containerized the application with Docker and built a Streamlit demo interface for a local-first AI workspace memory assistant.
Education
Chaitanya Deemed to be University
Bachelor of Technology (B.Tech) – Mechanical Engineering • 2023
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