Computer Science Engineer | Skilled in Python & AI Development | Experienced in Automation and Financial AI Solutions

Bangalore Urban, Karnataka, India

Remote

Bhubaneswar, Odisha, India

Bachelor of Technology, Computer Science and Engineering
kiit university

Intermediate, PCM
Guru Gobind Singh Public School - Chas, Bokaro Steel City
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Download Tal BossComputer Science Engineer | Skilled in Python & AI Development | Experienced in Automation and Financial AI Solutions
Passionate about building scalable web applications and AI-powered products using modern technologies. Experienced in React, FastAPI, Python, GenAI, LLMs, and RAG-based systems with a strong focus on real-world problem solving, clean architecture, and deployment-ready solutions. Interested in AI engineering, backend systems, and intelligent user experiences.
Bengaluru
Software Engineer Intern at LTM, May 2025 - Jul 2025 · 3 mos, Bangalore Urban, Karnataka, India, • Engineered RAG-based financial advisory platform that accelerated insight retrieval by 10x, enabling real-time analysis of market data and investment portfolios for enhanced client decision-making. • Designed and deployed custom LLM pipelines with automated preprocessing and model optimization, achieving 85% response accuracy while reducing manual financial analysis workload by 60%. • Led development of AI-powered prototypes for workflow automation and enterprise solutions, resulting in streamlined internal processes and identification of scalable use cases for production deployment.
Data Analyst at NullClass, Dec 2024 - Jan 2025 · 2 mos, Remote, Task Descriptions 1. Word Cloud for 5-Star Reviews (Health & Fitness Apps) This task involves generating a word cloud based on the most frequent keywords found in 5-star reviews for apps in the "Health & Fitness" category. Common stopwords and app names are excluded to focus on meaningful terms. The word cloud visually represents the prominence of keywords, aiding in identifying user preferences and popular features. 2. Dual-Axis Chart: Free vs. Paid Apps (Installs and Revenue) This task creates a dual-axis chart comparing the average installs and revenue of free vs. paid apps within the top three app categories. Filters are applied to exclude apps with fewer than 10,000 installs, revenue below $10,000, Android versions below 4.0, app sizes under 15MB, content ratings other than "Everyone," and app names exceeding 30 characters. The chart is displayed only between 1 PM IST and 2 PM IST. 3. Time Series Chart: Total Installs Over Time by Category This task plots a time series line chart showing the trend of total installs over time, segmented by app category. Areas of significant growth (greater than 20% month-over-month) are highlighted under the curve. Filters include content ratings set to "Teen," app names starting with "E," and installs exceeding 10,000. The chart is displayed only between 6 PM IST and 9 PM IST.
Python Developer at Oasis Infobyte, Mar 2024 - Apr 2024 · 2 mos, Bhubaneswar, Odisha, India
Bachelor of Technology, Computer Science and Engineering, kiit university
Intermediate, PCM, Guru Gobind Singh Public School - Chas, Bokaro Steel City