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.

Contact

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

Average Tenure

Current Experience

Involead

Gen AI Intern

Feb 2025 – Present · 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 2024 – Jul 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 2024 – May 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