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Software Engineer with less than a year in AI/ML & Fullstack Development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Dual Degree student with hands-on experience in building AI-powered solutions and full-stack applications. Proven ability to integrate complex models, manage data pipelines, and deploy scalable systems. Recognized for strong analytical skills and a track record of driving impactful projects and winning data analytics competitions.
Indian Institute of Technology, Kharagpur
Dual Degree · Applied Geology
August 1, 2021 – June 30, 2026
The New Green Field Public Academy
Class XII · CBSE
June 1, 2019 – May 31, 2020
Zero2AI
Software Engineer Intern
January 1, 2026 – Present
India
Titan Company Limited
AI Engineer Intern
May 1, 2025 – July 1, 2025
Bengaluru, Karnataka, India
westack.ai
Data Science Intern
April 1, 2024 – August 1, 2024
Indore, Madhya Pradesh, India
General Championship Data Analytics 2025
February 1, 2025 – March 1, 2025
Processed 1.6M+ transaction records, built KPIs, optimized procurement improving efficiency by 12% raising GMV. Developed interactive Tableau dashboards, achieving 85% prediction accuracy and enabling stakeholder decision-making.
Open IIT Case Study
September 1, 2024 – October 1, 2024
Secured 1st Place designing market entry strategy for Chennai ride-sharing using hotspot-based operational models. Launched growth initiatives with dynamic pricing and referral discounts, driving INR 280 net revenue per customer.
Predictive Process Mining Engine
December 1, 2023 – February 1, 2024
Architected LLM-based pipeline generating 25K+ synthetic event logs simulating two workflows to overcome limitations. Trained PyTorch Transformer with 2 encoder layers, 4 attention heads, and 64 embeddings using learnable encoding. Achieved 35.9% higher predictive accuracy over baseline and 87% validated accuracy on synthetic ERP expense dataset.
Transformer Multi-Language Translator
May 1, 2023 – July 1, 2023
Built Transformer NMT model (3 encoder + 3 decoder layers, 8 heads, 256 units) on 100k English-French pairs. Designed preprocessing pipeline with tokenization, padding 60 tokens, and built 12k vocabulary for bilingual text. Achieved BLEU score of 25 on validation set with 35% reduction in total training loss using Adam optimizer.
Cultural Fit Analysis
The candidate's diverse project portfolio, including academic research, internships, and competition successes, indicates a proactive and driven individual. Their involvement in various AI/ML applications, from natural language processing to data analytics, suggests a broad interest in technology and a willingness to tackle different challenges. The experience with both individual project ownership and team-based competition success points to a collaborative yet independent work style, which generally aligns well with dynamic tech environments.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project achievements and competition wins. Their experience in building multi-agent workflows and optimizing processes suggests an operational mindset. The academic background in Applied Geology, combined with self-driven AI/ML projects, indicates adaptability and a strong learning aptitude. The remote internship experience also points to self-management and independent work capabilities.