Samir Hendre

Software Engineer

Pune, Maharashtra, India2 yrs 4 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in backend development with Python and Django.
Proficient in implementing advanced NLP techniques.
Experience in developing scalable data engineering solutions.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Fintech and AI/NLP solutions.

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Skills

Core Skills

PythonData EngineeringNatural Language Processing (nlp)Web Development

Other Skills

Apache AirflowPostgreSQLDjangoRetrieval-Augmented Generation (RAG)DockerSQLLangChainWeb ScrapingCeleryRabbitMQElasticsearchSeleniumData VisualizationFlaskPandas

About

Software Engineer with a passion for technology and innovation. I'm skilled at backend development using Python, data science and in my current role, I am exploring the ever evolving field of GenAI.

Experience

2 yrs 4 mos

Total Experience

1 yr 2 mos

Average Tenure

1 yr 9 mos

Current Experience

Altometa consulting

3 roles

Software Engineer

Jul 2024 – Present · 1 yr 9 mos · Pune, Maharashtra, India

1. Developed financial data sourcing pipelines using Apache Airflow, integrating diverse data sources including web APIs, scraping, SFTP, and email ingestion. Implemented robust logic for data extraction, followed by post-processing and validation workflows before storage in PostgreSQL.
2. Architected & implemented a Python Django/SQL stored procedure system with Redis caching to automate NAV calculation for a fund accounting firm, achieving performance boost over Excel & enhancing accuracy/auditability.
3. Implemented Retrieval-Augmented Generation (RAG) for various documents, including earnings call transcripts (web scraping), ESG reports (PDFs), and technical support ticket data (CSVs). Leveraged the LangChain framework extensively and worked on various chunking strategies to enhance contextual accuracy for large language models.
4. Contributed to multi-agent LLM systems (CrewAI, LangGraph) for complex analysis & visualization, leveraging vector DBs, caching, and Graph RAG. Validated multi-agent systems via POCs, considering microservices integration (Docker, Celery, RabbitMQ) for scalability.

Apache AirflowPostgreSQLPythonDjangoRetrieval-Augmented Generation (RAG)Docker+1

Project Intern

Sep 2023 – Jun 2024 · 9 mos · Pune, Maharashtra, India

1. Developed an application for Earnings Calls Transcript Analysis, integrating Elasticsearch for document search, sentiment analysis, named entity recognition, and concept extraction. Leveraged LLMs for concept extraction and Selenium for web scraping. Implemented data visualizations like word clouds and bar charts for better insight.
2. Built an RAG-based chatbot to answer queries related to the transcripts.

ElasticsearchSeleniumData VisualizationNatural Language Processing (NLP)

Analyst Trainee

Jun 2023 – Aug 2023 · 2 mos · Pune, Maharashtra, India

Nice ltd

Software Development Intern

Jan 2023 – Jun 2023 · 5 mos · Pune, Maharashtra, India · Remote

1. Developed a custom Log Aggregation System to streamline log collection, filtering, and analysis. The backend was built using Flask, implementing a robust log filtering system. Utilized Pandas framework for data processing and integrated with a Flutter-based UI to ensure efficient log visualization.
2. Designing and implementing unit tests and validations for endpoints, making endpoints fail-safe for future development.

FlaskPandasFlutterWeb Development