AKANKSHA RAMCHANDRA KESARKAR
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with 1+ years in Python, Machine Learning & LLMs
2024 CSE graduate and self-motivated AI Engineer with hands-on experience in Python, Machine Learning, Deep Learning, and Generative AI. Built production-grade AI-powered applications integrating LLMs, Prompt Engineering, and AI frameworks including Anthropic Claude API and OpenAI GPT-3. Certified in Generative AI, Deep Learning, NLP, and AI via Infosys Springboard. Passionate about Artificial Intelligence and building innovative solutions - experienced in data processing, model development, AI integrations, and research and experimentation with emerging AI technologies. Fresh graduate with relevant projects and internships, eager to contribute to real-world AI projects at Polluxa.
V.S.M. Somashekhar R. Kothiwale Institute of Technology
B.E. · Computer Science & Engineering
August 1, 2020 – June 30, 2024
Tap Academy Pvt. Ltd.
Full Stack Developer Intern
June 1, 2024 – May 1, 2025
Bengaluru, Karnataka, India
Seventh Sense
Software Developer Intern
November 1, 2023 – February 1, 2024
Bengaluru, Karnataka, India
Zeal CodeLab
Data Analytics Intern
August 1, 2023 – October 1, 2023
Belgaum, Karnataka, India
RAG Document Intelligence System
January 1, 2025 – January 1, 2025
• Built a Retrieval-Augmented Generation (RAG) AI application using HuggingFace, FAISS, and DistilBERT - demonstrates deep understanding of Large Language Models, AI frameworks, and emerging AI technologies. • Applied Prompt Engineering and NLP techniques to enable intelligent document querying - hands-on research and experimentation with Generative AI tools and LLM-based solutions.
View ProjectAI CSV Analyzer - AI-Powered Application & Automation Solution
January 1, 2025 – January 1, 2025
• Built a production-grade AI-powered application (FastAPI + React) integrating Anthropic Claude API (LLM) for natural language insights from any uploaded CSV - demonstrates practical Generative AI, LLM integration, and Prompt Engineering skills. • Integrated scikit-learn Machine Learning (Isolation Forest) for unsupervised anomaly detection on live financial datasets via yfinance — applied Deep Learning concepts, data processing, model development, and AI integrations end-to-end. • Designed 7 REST API endpoints with Pydantic validation and Uvicorn ASGI deployment - demonstrates hands-on experience building innovative AI solutions and automation solutions aligned with Polluxa's AI engineering scope.
View ProjectAircraft Engine Predictive Maintenance - ML Model (R2=0.91)
January 1, 2024 – January 1, 2024
• Developed a Machine Learning predictive model achieving R²=0.91 - applied data processing, model development, and analytical skills to deliver an AI-powered automation solution for real-world operational risk prediction.
View ProjectGenerative AI
Infosys Springboard
May 1, 2026 – Present
RPA
Infosys Springboard
May 1, 2026 – Present
Deep Learning
Infosys Springboard
May 1, 2026 – Present
OpenAI GPT-3
Infosys Springboard
May 1, 2026 – Present
NLP
Infosys Springboard
May 1, 2026 – Present
Data Science
Infosys Springboard
May 1, 2026 – Present
Prompt Engineering
Infosys Springboard
May 1, 2026 – Present
Artificial Intelligence
Infosys Springboard
May 1, 2026 – Present
Computer Vision
Infosys Springboard
May 1, 2026 – Present
Machine Learning
Independent Upskilling
June 1, 2025 – Present
LLM API Integration
Independent Upskilling
June 1, 2025 – Present
Docker
Independent Upskilling
June 1, 2025 – Present
AI-powered Application Development
Independent Upskilling
June 1, 2025 – Present
FastAPI
Independent Upskilling
June 1, 2025 – Present
PostgreSQL
Independent Upskilling
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse personal projects in AI (CSV Analyzer, RAG, Predictive Maintenance) and multiple internships across full-stack development, software development, and data analytics demonstrate a broad interest and proactive approach to learning. This aligns well with a culture that values continuous learning and innovation. The focus on AI-powered automation solutions is a strong fit for an AI engineering scope. However, as an entry-level candidate, their direct experience in a dedicated AI engineering team is limited, which might require some ramp-up in specific team workflows.
Soft Skills & Operational Fit
The candidate demonstrates self-motivation, a willingness to learn and experiment, and strong problem-solving and analytical skills, which are crucial for an AI Engineer role. Their experience in Agile environments and collaboration with senior developers suggests good operational fit. However, as an entry-level candidate, practical experience in complex team dynamics and large-scale production deployments is limited.