Akshat Saraswat

DevOps Engineer

New Delhi, Delhi, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • 3x Hackathon Winner showcasing competitive edge.
  • Finalist in SIH’24 demonstrating innovative problem-solving.
  • Strong foundation in AI and Backend Engineering.
Stackforce AI infers this person is a Backend-heavy AI Engineer with a focus on Healthcare and SaaS solutions.

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Skills

Core Skills

Artificial Intelligence (ai)Backend Web DevelopmentMachine Learning

Other Skills

PythonFastAPIFigmaAWS BedrockNatural Language Processing (NLP)AIGitLabReinforcement LearningNeural NetworksData AugmentationData ProcessingExploratory Data AnalysisVGGPyTorchBERT (Language Model)

About

An average yet hard-working (smart-working at times) guy trying to learn and create an impact in AI :)

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Involead

Gen AI Intern

Feb 2025Present · 1 yr 3 mos · Dwarka, Delhi, India · On-site

  • Assisted in building client project narratives and contributed to design deliverables using Figma and presentation decks.
  • Fine-tuned LLaMA 3.3 on company-specific datasets by scraping domain-relevant data using Chromium and Selenium, creating a tailored AI chatbot.
  • Developed an AI-powered GitLab automation tool, enabling issue board management directly from the command line via natural language prompts integrated with AWS Bedrock.
  • Built and optimized backend services for client projects using Python and FastAPI.
  • Led development of Finder, a key product in the Pharma AI Suite, overseeing generative AI integration, backend development, and deployment on self-hosted VM.
  • Contributed to multiple Pharma AI Suite products including TPP backend and GenAI modules, ensuring successful delivery and client adoption.
PythonFastAPIFigmaAWS BedrockNatural Language Processing (NLP)AI+3

National institute of technology tiruchirappalli (nit trichy)

Summer Internship

Jun 2024Jul 2024 · 1 mo · Tiruchirappalli, Tamil Nadu, India · On-site

  • Conducted research on reinforcement learning algorithms for robotics in my first week
  • Conducted research on Natural Language Processing (NLP) applications for non-clinical text analysis.
  • Developed and implemented algorithms to extract and analyze meaningful information from diverse text sources.
  • Compiled a comprehensive report detailing methodologies and potential applications at the conclusion of the internship.
Reinforcement LearningNatural Language Processing (NLP)Machine Learning

University of oxford

Project Intern

Mar 2024May 2024 · 2 mos · London Area, United Kingdom

  • Completed a 2-month-long research project under the supervision of Pramit Saha, a researcher and D.Phil. candidate in the BioMedIA lab at the University of Oxford, United Kingdom.
  • The project was based on the applications of AI and ML, where I simultaneously learnt and worked on data augmentation, data processing, exploratory data analysis, neural networks, CNNs, and RNNs, and then finally submitted my overall work report to Prof. Saha.
  • Prof. Saha's sessions were very helpful and cleared all my doubts within a specific timeframe which led to the completion of my project in time.
Machine LearningNeural NetworksData AugmentationData ProcessingExploratory Data Analysis

Education

Guru Gobind Singh Indraprastha University

Bachelor’s of Technology — Artificial Intelligence & Machine Learning

Nov 2022Jun 2026

LCIT Group of Institutions

Class 10th & 12th — Mathematics

Jan 2018Jan 2022

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