Summary
Overview
Work History
Education
Skills
Additional Information
Languages
Timeline
Generic

Mahesh Gunashekar Nelaballi

Guntur

Summary

Results-oriented achiever with proven ability to exceed targets and drive success in fast-paced environments. Combines strategic thinking with hands-on experience to deliver impactful solutions and enhance organizational performance.

Overview

1
1
year of professional experience

Work History

IT Research Intern

Data Security Council of India
07.2024 - 01.2025
  • Attended meetings and presentations to learn project details.
  • Completed research, compiled data, updated spreadsheets, and produced timely reports.
  • Collaborated with NASSCOM in the Research Department.
  • Conducted in-depth market research to understand the Indian cybersecurity landscape, identified key competitors. Used data-driven insights to refine product positioning and messaging strategies.

Data Analyst Intern

Edulyt India
08.2023 - 09.2023
  • Completed data cleaning and data validation of existing spreadsheets to promote robust data management platform, resulting in accurate data analysis and entry.
  • Utilized various professional statistical techniques and maintained large databases to collect and analyze data from partners and customers.
  • Monitored and controlled data upload, checking for successful data import and quality.

Education

Bachelor of Technology - CSE - Artificial Intelligence

NIIT University
Neemrana, India
12-2024

Skills

  • Machine Learning: Transformer Architectures (BERT, GPT, T5, etc), Large Language Models (LLMs), Transfer Learning, Fine-tuning
  • Natural Language Processing (NLP): Text Summarization, Task Extraction, Contextual Reasoning, Chain-of-Thought Prompting, Tool-Use Agents
  • LLM Frameworks: LangChain, LlamaIndex, OpenAI API, HuggingFace Transformers, RAG Pipelines
  • Programming: Python, TensorFlow, PyTorch, scikit-learn
  • Cloud & Deployment: AWS, Azure, Docker, Kubernetes
  • MLOps: Model Versioning, CI/CD for ML, Model Evaluation, Continuous Inference Pipelines
  • Databases & Search: Vector Databases (Pinecone, Weaviate), Embeddings, Vector Search
  • Collaboration Tools: Git, Jira, Agile Methodology

Additional Information

1. Toxic Comment Classification (NLP)

Classifying comments as toxic or non-toxic based on their language

content (English).

project employs text classification methods to achieve real-time

identification and categorization of toxic comments, contributing

to safer online communication.


2. Token Sliding on outer planar graphs

Implemented an algorithm to check rigidness of tokens in Halin

graph.


3. Pose Estimation

This project provides a comprehensive survey of deep learning

techniques used to estimate the pose of objects. It explores three

main approaches: instance-level methods, which estimate the pose

of objects seen during training; category-level methods, which

generalize to unseen objects within known categories; and unseen

methods, which handle entirely new object categories.

Languages

English
Bilingual or Proficient (C2)
Telugu
Bilingual or Proficient (C2)
Hindi
Bilingual or Proficient (C2)
kannada
Bilingual or Proficient (C2)

Timeline

IT Research Intern

Data Security Council of India
07.2024 - 01.2025

Data Analyst Intern

Edulyt India
08.2023 - 09.2023

Bachelor of Technology - CSE - Artificial Intelligence

NIIT University

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Mahesh Gunashekar Nelaballi