Aastha Prasad
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https://www.linkedin.com/in/aastha-prasad-6a-/
Summary
Software Engineer with extensive experience designing and optimizing scalable, cloud-native distributed systems. Proven record in
reducing latency, enhancing data workflows, and integrating robust APIs using Python and modern ML frameworks. Demonstrated
success in architecting cost-effective solutions and elevating system performance across multiple production environments.
Skills
• Programming Languages: Python, R, C++, HTML5, CSS3, Java, Javascript
• Database: MySQL, Mongo DB, Postgres, Microsoft SQL Server, Snowflake
• Cloud Computing: EC2, S3, VPC, RDS, Athena, AWS data pipelines, Apache Airflow
• Frameworks: NLTK, Scrapy, Plotly, TensorFlow, Keras, Matplotlib, Pandas, FastAPI, Flask, Scikit-learn, MLflow
• Tools: GIT, Docker, Tableau, Jira, Travis, Selenium, HuggingFace, GitLab, Bitbucket
Experience
SenecaGlobal IT Services Pvt Ltd
Nov 2023 - Aug 2024
Technical Analyst
Hyderabad
• Synthesized complex regional market data into clear visual presentations, enabling data-driven decision-making for stakeholder
engagements and supporting scalable data retrieval processes.
• Engineered scalable APIs for the Greenstreet project using Python, streamlining data workflows and contributing to distributed compute
strategies that reduced transaction latency by over five seconds in high-volume datasets.
• Enhanced database query performance by 35% through optimized indexing and refined data processing techniques, aligning operations
with cloud-native application practices.
IndiaMART Intermesh Ltd
Jan 2023 - Nov 2023
Senior Software Engineer
Noida
• Architected a streamlined Lakehouse solution integrating Apache Hudi and Spark technologies, effectively merging data lake and
warehouse functions to deliver significant cost savings and bolster distributed data storage and compute systems.
• Developed comprehensive RESTful APIs using Python's Flask framework to facilitate seamless integration with GCS and BigQuery,
reinforcing collaboration on critical projects and supporting robust, scalable backend services.
LinkedIn Consultant
Sep 2021 - Jan 2023
Software Engineer
Bangalore
• Facilitated to the implementation of a reliable automated system using Python for web scraping; achieved accurate extraction of job
listings stored on AWS S3, providing key insights into market trends
• Created custom Python scripts that automated daily data extraction tasks, resulting in consistent improvements in database refresh rates
while reducing manual entry errors to nearly zero during processing cycles over three months
RWS Moravia (Webdunia)
Jun 2018 - Sep 2021
Software Engineer
Indore
• Designed and facilitated efficient REST APIs that fetched the data and calculated different metrics and key performance indicators from
over 500 medical professionals; this work directly influenced strategic choices while improving response times by an average of three
hours
• Engineered a text classification model achieving 85% accuracy, enhancing data processing speed for real-time API solutions and
directly contributing to improved user engagement across the application by streamlining interactions
• Designed a comprehensive interactive troubleshooting bot using advanced integration techniques between Python and IBM Watson
services; streamlined customer interactions through five prioritized suggestions on necessary part replacements based on usage patterns.
Education
University of Arizona
MS, Information Science (Machine Learning)
• Coursework: Machine Learning, Data Mining and Wrangling, Database Management and Warehousing, Cloud Computing, Neural
Network, Artificial Intelligence, Data Visualization and Analysis, Natural Language Processing
Rajiv Gandhi Proudyogiki Vishwavidyalaya
Bachelor Of Engineering, Computer Science
Projects
Hands-On Innovation
Generative AI & LLM Catalyst
GITHUB
• Built real-world AI products using 3+ Frontier API calling & open-source LLMs, leveraging RAG, QLoRA, and AI Agents. Deployed
multi-modal chatbots, enterprise knowledge workers, and code translators.
• Completed a unified Capstone in three phases predicting prices with Frontier models, fine tuning open-source rivals, then integrating
Agentic AI based deal discovery showcasing end-to-end AI orchestration and optimized the model by 7 times with Quantization
techniques.
• Deployed productionized, agentized, fine-tuned LLM model with specialized UIs. Combined cutting edge techniques and platforms
like HuggingFace, LangChain, Gradio for tangible business impact.
