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Somala Ajay

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Python Developer & AI/ML Engineer with 3+ years of experience. Currently at TCS designing ML pipelines. Delivered 20+ AI/ML projects across NLP, Computer Vision, Deep Learning, GenAI & RAG pipelines.

0+AI/ML Projects
0%+Model Accuracy
0+Certifications
0yrExperience
Somala Ajay
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02

Who I Am

🧠
Somala Ajay
Python Developer · AI/ML Engineer · Data Scientist

Python Developer and AI/ML Engineer with 3+ years of experience building ML pipelines, NLP systems, and Generative AI applications. Currently at TCS as Associate Software Engineer, designing and deploying production ML models using Scikit-learn, Flask REST API, and SQL. Delivered 20+ end-to-end AI/ML projects across NLP, Computer Vision, Deep Learning, and GenAI.

Current Status
Open to Work

Currently at TCS (serving notice). Actively seeking AI/ML Engineer, Python Developer & Data Scientist roles in Hyderabad or remote.

20+
AI/ML Projects
87%
Model Accuracy
3yr
Experience
📍 Location
Hyderabad, India
17.3850° N · IST (UTC +5:30)
⚡ Core Stack
PythonTensorFlowFastAPIFlaskRAGFAISSLangChainDockerScikit-learnSQL
🎓 Education
B.Tech Electronics & Communication Engineering
Aditya University, Surampalem
2018 – 2022
"Building intelligent solutions that make a real difference."
— Somala Ajay
🔥 Currently
🏢 Associate Software Engineer @ TCS (serving notice)
🔨 Building ML pipelines, Flask APIs & RAG systems
🎯 Open to exciting AI/ML opportunities
03

Experience

Dec 2025 — PresentCurrent · Notice Period

Associate Software Engineer

Tata Consultancy Services (TCS) — Hyderabad
ML Pipelines · Flask REST API · EDA · SQL · Scikit-learn · CTC: 6 LPA
  • Designed and implemented end-to-end ML pipelines for structured client datasets covering data ingestion, preprocessing, and model training.
  • Built classification models using Scikit-learn, achieving 82–87% accuracy on validation datasets.
  • Deployed ML model via Flask REST API for internal inference workflows.
  • Automated data preprocessing pipeline, reducing manual effort by ~25–30%.
  • Performed EDA, feature engineering using Pandas and NumPy on datasets of 10K–50K records; used SQL for data extraction and transformation.
Sep 2024 — Nov 2025Full-time

Associate

Tech Mahindra — Hyderabad
Enterprise Data & WFMS · Data Integrity · Data Validation · Doc Audit · Data Cleaning
  • Worked on the client project using the Workflow Management System (WFMS) to handle and process structured data.
  • Performed doc auditing and data correction to maintain high accuracy and data integrity.
  • Supported data validation and quality checks, reducing discrepancies and improving workflow reliability.
  • Coordinated with team to manage high-volume data operations efficiently, contributing to streamlined process execution.
Aug 2022 — Jun 2024Full-time

AI/ML Data Scientist

BO IT Solutions Private Limited — Hyderabad
End-to-End AI/ML Development · NLP · Computer Vision · Deep Learning · GenAI
  • Delivered 20+ end-to-end AI/ML projects covering NLP, Computer Vision, and Deep Learning — full pipeline from data collection to model deployment.
  • Performed EDA and feature engineering on datasets of 10K–100K+ records using Pandas, NumPy, and Matplotlib, reducing data preprocessing time by ~30%.
  • Built and evaluated classification and regression models using Scikit-learn and TensorFlow, achieving 80–90% accuracy across multiple project deliveries.
  • Implemented CNN and LSTM-based deep learning models for image classification and sequence prediction, improving baseline accuracy by ~15% over traditional ML.
  • OJT as Assistant Trainer at Vikas Engineering College — demonstrated 20+ projects to students and faculty.
04

What I Work With

Tech Stack Globe
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🐍Languages
PythonSQLBash
🤖AI / ML
Scikit-learnTensorFlowKerasCNNLSTMNLP
GenAI & RAG
LLMsRAGFAISSLangChainPrompt EngineeringAI Agents
🔧Backend
FastAPIFlaskREST APIsStreamlit
📊Data Science
PandasNumPyMatplotlibETLFeature Engineering
🛠️Tools & Infra
GitDockerMySQLSQLiteJupyterVS Code
05

Things I've Built

02
🚀

NASA Manual QA System

Python · FastAPI · FAISS · Llama 3.3 · Groq · RAG · sentence-transformers

Production RAG pipeline querying the 270-page NASA Systems Engineering Handbook. 885 semantic vectors, confidence scoring (0–100%), multi-turn history, section-level citations, NASA acronym expansion. i2e Hireathon 2026.

03
🧠

Brain Tumor Detection

Python · TensorFlow · OpenCV · CNN

CNN-based MRI classifier achieving 90%+ accuracy — detects and classifies brain tumors using deep learning and advanced image processing.

04
🖼️

Image Caption Generator

Python · CNN · LSTM · FLICKR Dataset · Deep Learning · NLP

End-to-end image captioning system combining CNN feature extraction with LSTM sequence generation for automatic descriptive caption generation.

05
🛒

Amazon Recommendation System

Python · Pandas · Scikit-learn · Collaborative Filtering

Product recommendation engine using collaborative filtering and content-based methods on Amazon dataset to surface personalized suggestions.

06+

Full Portfolio — 20+ Projects

Python · Flask · Docker · TensorFlow · GenAI · NLP · CV

Stock Prediction, Face Mask Detection, Sentiment Analysis, Food Nutrition Adviser, Virtual Mouse & more — all on GitHub.

06

Certifications

🤖
AI Data Scientist
NASSCOM
Verified
Career Essentials in Generative AI
Microsoft & LinkedIn
Verified
🧠
Generative AI Introduction
Microsoft Learning
Verified
☁️
Develop an AI App with Azure AI Foundry SDK
Microsoft
Verified
🐍
Python (Basic)
HackerRank
Verified
Agile Methodology Virtual Experience
Forage
Verified
💼
Learning Microsoft 365 Copilot for Work
LinkedIn
Verified
🏆 i2e Hireathon 2026 — National AI Hackathon
Bangalore · 2026
i2e Consulting · Complex Technical Manual QA System

Production-grade RAG pipeline for the 270-page NASA Systems Engineering Handbook — 885 semantic vectors, FAISS indexing, LLaMA 3.3-70B via Groq API, confidence scoring (0–100%), multi-turn history, section-level citations.

  • FastAPI backend (/ask, /health, /ingest, /shutdown) with Pydantic validation and CORS.
  • Query-time NASA acronym expansion (20+ terms: TRL, PDR, KDP, SRR) to improve retrieval precision.
Stack: FastAPI · FAISS · Groq API · LLAMA 3.3-70B · sentence-transformers · PyPDFLoader · Vanilla JS
View on GitHub
🎓

B.Tech — Electronics & Communication Engineering

Aditya University, Surampalem, Andhra Pradesh
August 2018 – June 2022
Capstone: Quality Analysis of Rice Granules using MATLAB Image Processing
07

Let's Connect

Open to new opportunities, collaborations, or just a good tech conversation. Seeking AI/ML Engineer, Python Developer & Data Scientist roles.

📍 Hyderabad, Telangana 500081